{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Xarray-spatial\n",
    "### User Guide: Pathfinding\n",
    "-----\n",
    "\n",
    "[A* Pathfinding](#A*)\n",
    "\n",
    "-----------\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's use datashader to render our images..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import datashader as ds\n",
    "from datashader.transfer_functions import shade\n",
    "from datashader.transfer_functions import stack\n",
    "from datashader.transfer_functions import dynspread\n",
    "from datashader.transfer_functions import set_background\n",
    "from datashader.colors import Elevation\n",
    "\n",
    "import xrspatial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A*\n",
    "\n",
    "A* is an informed search algorithm, or a best-first search, meaning that it is formulated in terms of weighted graphs: starting from a specific starting node of a graph, it aims to find a path to the given goal node having the smallest cost (min distance travelled, shortest time, ...). \n",
    "\n",
    "The `xrspatial.a_star_search` function calculate the shortest path in pixel space from a start location to a goal location  through a given aggregate surface graph. The graph should be a line raster which contains crossable and non-crossable (a.k.a walls or barrieres) values. Note that both start and goal are in (lon, lat), or (x, y) coordinate space and must be within the graph. The `xrspatial.a_star_search` provides 2 separate options, `snap_start` and `snap_goal`, which can be set true to snap locations to the nearest valid value before beginning pathfinding. It also provides `connectivity` option to indicate neighborhood structure. This value can be set to either 4 or 8 that represents for 4-connectivity and 8-connectivity accordingly.\n",
    "\n",
    "Let's generate some fake line raster and find shortest path with A*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/html": [
       "<img style=\"margin: auto; border:1px solid\" src=''/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 600, x: 800)>\n",
       "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       ...,\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 0.0025 0.0075 0.0125 0.0175 ... 3.982 3.987 3.993 3.998\n",
       "  * y        (y) float64 0.003333 0.01 0.01667 0.02333 ... 3.983 3.99 3.997"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xrspatial import a_star_search\n",
    "import pandas as pd\n",
    "\n",
    "# define range of x and y\n",
    "xrange = (0, 4)\n",
    "yrange = (0, 4)\n",
    "\n",
    "# create line raster\n",
    "ys = [1, 1, 3, 3, 1, 1, np.nan, 1, 3, np.nan, 1, 3, np.nan, 1, 3, np.nan, 2, 2]\n",
    "xs = [1, 3, 3, 1, 1, 3, np.nan, 1, 3, np.nan, 3, 1, np.nan, 2, 2, np.nan, 1, 3]\n",
    "line_df = pd.DataFrame(dict(x=xs, y=ys))\n",
    "\n",
    "W = 800\n",
    "H = 600\n",
    "cvs = ds.Canvas(plot_width=W, plot_height=H,\n",
    "                x_range=xrange, y_range=yrange)\n",
    "line_agg = cvs.line(line_df, x='x', y='y').astype(int)\n",
    "line_shaded = dynspread(shade(line_agg, cmap=['salmon']))\n",
    "\n",
    "# pick up 2 random locations\n",
    "start = (1, 3)\n",
    "goal = (3, 1)\n",
    "\n",
    "location_df = pd.DataFrame({'x': [start[0], goal[0]], 'y': [start[1], goal[1]]})\n",
    "location_agg = cvs.points(location_df, 'x', 'y')\n",
    "location_shaded = dynspread(shade(location_agg, cmap=['lime']), threshold=1, max_px=5)\n",
    "\n",
    "set_background(stack(line_shaded, location_shaded), 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8-connectivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/html": [
       "<img style=\"margin: auto; border:1px solid\" src=''/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 600, x: 800)>\n",
       "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       ...,\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 0.0025 0.0075 0.0125 0.0175 ... 3.982 3.987 3.993 3.998\n",
       "  * y        (y) float64 0.003333 0.01 0.01667 0.02333 ... 3.983 3.99 3.997"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the path from start to goal, \n",
    "# barriers are uncrossable cells. In this case, they are cells with a value of 0\n",
    "\n",
    "path_agg_8_connectivity = a_star_search(line_agg, start, goal, barriers=[0], snap_start=True, snap_goal=True)\n",
    "\n",
    "path_shaded = dynspread(shade(path_agg_8_connectivity, cmap=['green']))\n",
    "set_background(stack(line_shaded, path_shaded, location_shaded), 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4-connectivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/html": [
       "<img style=\"margin: auto; border:1px solid\" src=''/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 600, x: 800)>\n",
       "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       ...,\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 0.0025 0.0075 0.0125 0.0175 ... 3.982 3.987 3.993 3.998\n",
       "  * y        (y) float64 0.003333 0.01 0.01667 0.02333 ... 3.983 3.99 3.997"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the path from start to goal, \n",
    "# barriers are uncrossable cells. In this case, they are cells with a value of 0\n",
    "\n",
    "path_agg_4_connectivity = a_star_search(line_agg, start, goal, barriers=[0],\n",
    "                                        snap_start=True, snap_goal=True, connectivity=4)\n",
    "\n",
    "path_shaded = dynspread(shade(path_agg_4_connectivity, cmap=['green']))\n",
    "set_background(stack(line_shaded, path_shaded, location_shaded), 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### An example of the City of Austin road network\n",
    "\n",
    "The road network used in this example notebook can be downloaded from:\n",
    "\n",
    "https://data.austintexas.gov/Locations-and-Maps/Street-Centerline/m5w3-uea6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mdo\\Anaconda3\\envs\\xarray-spatial\\lib\\site-packages\\pyproj\\crs.py:122: DeprecationWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method.\n",
      "  DeprecationWarning,\n"
     ]
    }
   ],
   "source": [
    "import geopandas\n",
    "\n",
    "# load data\n",
    "streets = geopandas.read_file('zip://./../data/Street_Centerline.zip')\n",
    "streets = streets.to_crs({'init': 'epsg:4326'})\n",
    "\n",
    "xs = []\n",
    "ys = []\n",
    "for s in streets.geometry.values:\n",
    "    try:\n",
    "        coords = s.coords.xy\n",
    "        xs += coords[0].tolist()\n",
    "        ys += coords[1].tolist()\n",
    "        \n",
    "        xs.append(np.nan)\n",
    "        ys.append(np.nan)\n",
    "    except:\n",
    "        continue\n",
    "        \n",
    "street_df = pd.DataFrame(dict(x=xs, y=ys))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/html": [
       "<img style=\"margin: auto; border:1px solid\" src=''/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 600, x: 800)>\n",
       "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       ...,\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 -98.17 -98.17 -98.17 -98.17 ... -97.37 -97.37 -97.37\n",
       "  * y        (y) float64 30.0 30.0 30.0 30.0 30.0 ... 30.65 30.65 30.65 30.65"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H, W = 600, 800\n",
    "\n",
    "xrange = (-98.170507844129, -97.36979731249)\n",
    "yrange = (29.995950090365, 30.654731756587)\n",
    "\n",
    "cvs = ds.Canvas(plot_width=W, plot_height=H,\n",
    "                x_range=xrange, y_range=yrange)\n",
    "\n",
    "street_agg = cvs.line(street_df, x='x', y='y').astype(int)\n",
    "street_shaded = dynspread(shade(street_agg, cmap=['salmon']))\n",
    "\n",
    "# Pick two locations\n",
    "start = (-97.9, 30.1)\n",
    "goal  = (-97.5, 30.5)\n",
    "\n",
    "location_df = pd.DataFrame({'x': [start[0], goal[0]], 'y': [start[1], goal[1]]})\n",
    "location_agg = cvs.points(location_df, 'x', 'y')\n",
    "location_shaded = dynspread(shade(location_agg, cmap=['green']), threshold=1, max_px=5)\n",
    "\n",
    "set_background(stack(street_shaded, location_shaded), 'black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kjFd3HpAdm4hVQtYTV5qg64jGe/d8xXssXXV1zcFem1jPReZH8hFCSCcUIB8MjzXsy0rxcf5bOtPy85HoiNZYrvcuB+LsRA4TUmYmnXWcLEK+k3CFwzYKFetYXBeR82rtXGVEFGKDVccdc1fUV5H8sqzOY4ayfbTyKSwIITtAAULIpqDHJ7odCqRMzdEZfz//nalT5kGPlnjvk6A2oFH2zJGxTmQ7r3YqPYGT3anRjvpZdVqfZUXtKuQ9ztix0u7oWGSmjBMKF0JIJxQghDyQimNhOU/ZIxijU6jtnMidAa2OyP7oyJFXX8VR0u4JFRcZEeK9I1LJv9op1IRZ97sk3k6AJXB3c4avtCcScd3tw53y30GOcxJCfChAPhguKs/EOkqVRZ5Bz0aZZXTaO56CigNEtKD2oXjHVNCjTp7jhxxBk2Xs4uAgx/O09FnBaeV9whzV9Uy8Z671Ia3Pyp2PFXZ+Gl5bRruChBAbCpAPh5PmvmSPusyUH5UX7YhYRz603YSMGEF2YbrQdkGqzBwD09rwqnGq2T3T1p4gsYSf3PHQ7LrL4bN2xzzRhZZr5ZdOLnI8UBvb1TZ7ggisgN4X10hC1vDtOI7/3G0EuQdGbfbGcro6nlvVqfCOa0VOpVdGxr6xvM7oczby7jmcWdHhpb9inHa2Z9SWlqiw8svPup99ligiLj8b83lHzWT5cqxnxywqiKLdqjesE5kdocz9cgeEkDrcASFkU2REPnscJluX5jjK3zNHaeS/rXxZh3KFA1p1IhDRMWvvCgcHiaJ3lXkc/hE+Wa/leJ+f3SlEvHbLYh2Z6r6fzBE/zYYnOdZ3HF186w4RIauhAPlwGLnZnysikdZxktF50QSRzKPt2oz3oHGmQ52jqLyrQJ6HbNfjuMd2axdCS1PtZ8guTqVs72hc5ThiVuhmykOEnTdOOpHCQxM7ns07khFOHfXsMM8Q8lYoQD4YuTBxst2flSLEcpDOemU6a5djTJOt+07xob1/MOOc3e3YZaPqq3bYvHcRxl0NbxdEuwdt3rLsto4yRcfoMs8wI6DHuqxxFD0LdEfDOtKmsduaMDuvzNSjBVoIIX1QgHw41fPFn0om6t29cHU6B+gxDC2N5qRZx66iqLhMsyoanMFylI8jZ5/XfhWB5jnXVp4sq4/5nURtiLabZyPSLp6DmxUSWhloemvsWLsWsryOIIBn69VOuCUuu8s/8QQeIWQNfAmdHMfBLWcUNHpqpem2Y7Z8ayGuHmtB26C6sHcfsdDKz0SMUZusI0iZ54hG8Tu4Yj6QbWIJW2mTxBIl8h683Q10NwElEkqWoO10ehHx31FWJ1a/6xYCK+YRrp2E5KAAUfhUZ/xT7xsBcWa06OXqtpx9Zmg0FgWJUK+KKqJOfLUs7ehQtv09pzoTya/Ujdqm3edqrHHj7UJ5NqJ92HqeGbx82vEwb8xlyq6S3aFB8syQHQMzO14r4LpJSA0ewVKIosBvnWi45RzjHUmacdyrdDqKaNTWs0FLJx3bq9onctyjvLI9kPsc0yH2ePVr9Vo2zTDWJeu4SkijO29Ifxz7m9cH5H1WQY5HabYh9e4Q+e9+9t1Hxa4SyYSQXihAHKKtfSsdeR+ZyOzTI2JjH884697xJW/MdDpZUVldx2u0Z1517rS2vrLvaH1b2nC1kxf1qdE+ZEdhTGv17ez9WWLWExjn77LfIDs1Tw4OdfbtJ7cDIeRfeATLIVqUx3SSpzqfjCbZeM/Z2v24++x0R5kIyDjJ1mk5wKsdEGRXqTrmvV0yZLdhVfQYdX6vOo5ljSNPWIyfZfoLmt465hWR6cfIsbIZMjsus7tfXfPg7H3zCBYhe0IB8j8ykSzpRGgT9dWTUudkz4kUQ1us5e9Xt2VnnciYuDtafpUYOevyhINMP5IVr4ij2BVJjpx7Le1KLOc7csiR68hz0Mg8Vy+/tU4g9VX7OiKo5fWZ9aSzr8j11WuvTFt2ctfOJSFPh0ewBrxtfuvzzKK2anLqOgLEre0c2rGOq6PFK8jcS2bMdNc91odEuc/yEYdG2uPZZ9mARuWjvKP947XZfibnC81Oz8ZVzOwiRu0a1SvLyNaPUBWP1WNalec2s3Z0tlckgrlmEfJcKED+R2ZrOpN/VRTRmvCjyTmK5D3Vab6ayGm7a/ejUrdMrzmmY/lnGs+GKB1KR3+1IuPo0Ryvfu/fFUcJ3Tnr6GtSEGlBFWQnYhXozoTW77X+a6H1/6ydyG6L7CeZeTtji1eG9fxm+tBY70oswUwIeSYUICDaQp1dKLK7IlXR4133okiczHGkozM6juiRhxmqR0kqaI6SJzS0tvHI2qv1V+/e0d2OWbukLbIcpB20nRqZFxUpWTuja3fughwHdgyrMicju2DesxjLicS79eyQXShZt8yH0CU+rlwzPPsqO7SEkD3gOyAOWlRbozrJIYvHigm0csyF6FiOeHdf0eqMxOvMLojmdHnC2YuYo7bK/1v34UVxIzJOdBR0QHeBvLJlPs8+b9ejQ5CgYvHKuQLd/egQR+guxEzQ6MyPBLIyuyJWmYhYRRx8z7Yr8OzIjJsVcEeGkBrcAXHQHHRtgp8t/+pJS0bpOGniRIuctgsir2v5snUj+Wb6VhShtdJXncDxGA2STgNxSGftO8tGQZ3I6P5lnXfNHVeAjDGZrio+vTIz9smdkAqeLZHYtOxHxIeWT6v3LtAgCCHkWXAHBGSFs363AJhxhsm/WA5JtFh6jgxyPWNXdPTC2u1Ddx+qNmhpkGhvpl6rDGRHR15DI9fo7qllj7ymsWL8zkTLO5jdxchi9fmKHbMiXCvHmzeQ8RrZ85Q5P9rl0IjasQuKIkJqcAfEoTLpIWWO3DlhIdvX5F+0Zzdz9ChyFmb7RuSgaM9dOmHWLgJqW8Yps6L6lo1j+WjZYxmeQPCuabta2aMvcuxVx+EbHJ6sAEVAy/Gc+ZVEc29FNGQ/3wkk2KKNe2vsab8TQvaCOyAGs9Fnr8ydJkRGb/JYOweaQ7Fbm0Y7G6uihZFQQ7CcRNTeaPfCcgalsyjbKdpJssQJ8u87+o9Xb6dNlkNZpWsHYiwrW16nDZotaNleQKSyDt2585XZpdLaf/UY2nm+J2RnKEAMPkWAHMf6xeVteE7iUxaj7mgh4jhb0ebImUDrRdKNZaNHniLnCDmWFeWddRC7iHZou+YKa5xkj0F17t56IjJbhszriVLr+ctyKztFmX4uuXq3HrGzc8d+pZAmhMTwCJaCNbnNLr486vQuzmdpRcV3xovKV8uzjmxFaTTHKiM+zn8jRzYisu0w9gFZjmYHklfmR+2o5NGwnkG1f0QOdeYYlHw+SH/zrkd2jumQ+599llZbaGMGub/OQNrqQFXH+hgJeAbbCNkHChAQbeG7wkm4il13Z3bDctjls92pHb1nO4qCWZtR8RAdU8vuolgOImIP4tBGYs1zZDOOonTKO0RYhBX1R58lGoVH80VtldnJQtKOzzQjfmW5Y3mReNBss8rziNre22nZlZmdHaTddpqXCfl0KEAE6GKmffbUyW1cpLid7KM5aSc7CkxEWHYfY0FFSKWc6LhKpv2zEfKTqE0rNlSfQdVp1vJa0XdLWM/0d0sMoE6kt3tkUa1Pqz+bVnvGyI5gl13ntS5xs5LMLhch5LlQgAxktqu1qCfivO/mpFoOXFdUnNzD1UKyGi338nnlaZFmq4yojmwE3doRsXZCvEh8FO3vOkYSzW3e7pjM37Vb6u1IeKx2SL2+FIHuumm/R/d1xQ5Gx85MVH62HdEdpLuFCtdKQnLwJfT/MbPoROXJyfSuiSojsMb0nFifQ0V4oOIB7SvZIxSV/hVF7q201nVpk1UecpTKyp9pl4yz6bWl1zbIfJCdMypkHcfZNjp/R22piD2kvS1BmwUdS+h4637m1V1KRAzdvUbxxAAhdShADiya2iFELHaJUK/I28lbjrxFeO0dOZrRNes60paIoy/rkI6i5TRmBFC2H6ACRMPbgcjcxyrxMeYb6686ZldEwMfyrohaZ4X4rFOLCJBo18xrm0iwRO2Kzi0ZYY7StXsnuWMt+JT1iJBVfPQRLGuh6ZxwvYXorGelg98RIaouaBnQydwTik9fAOQxF08oIEd3MlFRpA9qdVvHSbz8WjmRM+b9fjXaeBjH8viZ/Hfk5FWc8jHf7HjP7vqg9iH1nJ93Pteqs9s5l1R216t9QdaHliHHonXtDiJRPdPv5ZzaOW6I4Av8jHwMH7sDgkw2u0T+K1y1NdwhTLTFQ3PUOo4X7AqyC3cc2BGbjDCb7SdR/tGRisR49rOMjYizZ9ltUXleXtosVx1DycyDaFReG9fdwiPTt6N+msXqP8juIyJSx8+t8jNzc3bHzcq7ek3tXJMrO7Fa3qeuOZfyVbxGXs1HCZBPmDR2usfIMcpE6KN0aHm70WFzRZxVorIVGyznKVPWqiMxVvmVCLKHdS9Rm3nlaHZnQfN7dmYc3rsj6acdkhU7qdl7rQjgTNnIPGo55N4uQbbtOgSIVZ91zdqtlLvEVaH9pPXmFr6a0pDX8TEC5InOKcqKBbSLTOS7q74V5a6gy1ZU6Hms3iW7a4HPiJ4riCLgs45rRMVhtNJpjulMO67YCbHqGJnpa554zdatlbNqd0ijIkC0fFF/Xh1sQUW91V/RMYGk/Xi+FqUlr+Aj3gF5klMqQbbwtc93oTrJd9e3CyvE4nnP0tGfjeR39q2zrEyZHcJstowrnOKx/JndwiiPdw9IlFimt5zTalt1Hq8ZGW2y2nFWyFmfSRu8Y1nSRvnvjjFt0dm/O3dvvPKr6axnkO1/u665hDyFjxAgx/HsySKyffd7u8O+qjOzMrp1hVjUnBjtdyufpMvWjCN/t4DUHMIuh8qKIGd2hjqc5SrSOY6i4RGe892JjMp3ix1U/HsBCE3QyXReWR6V/ivbzGovL8i04nnO9n+0/WavH8f+azMhd/J6AXK3M7MCbgHbzDxvL9Lbgdyp8OxAj0l0HHtZLT5OkLbsFGmZqKbl2K1yjLXdCc9OaV/mmIhVXgarvNnxEe0GdCDb2jrmlEE7ZqQ9n7GOaH6RbRk59hnxF9XttXs0x1SE0F3rFtJmGWGhPd/oCJplS8Sd7UbICl4vQI7j+U66NvE8/Z660USZbDdPuGkLieaIdjpuSD4v6oiUE7F6UdOcHC8tkm4VWgRbi2afVNpeOpiybvm5lrcjgm9F2sfrkQ1W2tm+OSuotXIsxxdpd6ROa8dDs0UjEhQdu02nbZ4Nnl1X7bzMUrEvc2+ouByvdTw7mY8+AHk6HyFAnoycIM/PyO9o7RI5R3LxiHYYso5fNuIn7UIXxGgBtK55NqDpLSpt1U2m/aX40Mrp2m3S7ImEszyGY91XpyCI5h1NtFX6rCf6tLxnPWgf9n6f3RGJ7l/el/y/1+8ivH5i9YOoPC/g5QV1RmTgAbk39P4z7YQKwapA8MTmqvksqqdr/m7h6+C3YBGT138L1tO3LSk8YrocBw/NQbpq50B+ftqgfY4SORHRkQyEqI2u2PHIiA+LjANvObPZcaxFni3nIxvxlfVY6aJdkm5mdpei+5IOdHZ8eaDzSCRurc804do1D+wG0t+sMaU9B2Su9nYorGcT2SjTWeOpYy5FhObtftCXc+2v47+eKPk4uAPyACg8fGa2+aOFTrsuI52rno8ViVzpZHiR+dMm5L69Rd2rq5OsY+5FxavR2WofiXYEMjsGWp4sV/a7ipOejVhbz2PlfXq7BdFnnl2RiLRAd5Lks4n6csXhPz+v7pREu09ZrN0p776s3RAvcICKmNk0t/N16CLkr2vNIHtBAXIzt0cmBjuO4yGTWQOI8BjTeFHO7raT9Y52SXsqWM5eNvoYOYpXC46RyjORtn//+mfaIZ295/EYyyzeTopX9/j7rHNuRaplf9auSzKR7uwOFEokgCznNdOOXjvNiGytDq3sXdao47ADBccRt4U3J3h5PVGDiOBKMMZbb7Js8/y+hn+LczerxifZm9cLEHZmnKe3VYdTjkbhrPxdaBFu6RTLBdVbsJBoaMZpjyKYd/aljA1IVD3rCCDHPrrKyfZVKxp7NUjbdu5GaMKn476zNnY5lJV0WpuPbaIJzkx9VarthwhkK5ikgYhXdIfFE9MZrnoGd7PLvESu5Y+7DfhktolMvIDZdkSExygAVmE5SXIhOu2wHGatXITsvZ3tNrbNE/q097zlPWQX/yucBWv3KZPv6mel7eZkj6RYZAViNk9UXsV51Wyq1J0tz4rYj2NZptE+82yqiiQEa2cy2iWTZWj/jvJfMV4+zi8Q73907DyTZ/D6HZBVXLVl2BVN9fi0CW9mYlu1IGmOiufUaAso6iBo9SDHLbKRQ9SGFX0vKtM7yqF9NrPTsBLkCIiVrmIjumNREbJIPqt+TaDL8rWotPy8W2yiO49dwstrH6sOqw20sdnpFKKC7Kq1FrUpOi4l2xrpI5FNr1qfE1979Lp7J7/w+m/B6kYucDOLOTq4Vm1Jvmmrs9KWyEKNOBAdZCZabUG2+uX5meVMWNFgaxdlRR9cIeKOo/5sEAfburYiYGA5iLOR/O728crMOMpIfUiEdGwfVMxnx6F87p4tliOduQ/t8/Gadi9I/8iMd6uuSh1oXi1/pxhCbPPud8Wu2ljXzFjdbn2XHqfzDVh37ECR6+AOCIA3CKxIWrZMNM8dDu+drJiAomiVFS1eORlWxIf8XeuXZ5po8Y4cqZ37ixfZPQ7siIWVxtthkHmu2K2UVJzBWfsQpzZqKzQab9WX2e1BI8yVZ4fsPqF2nKCiRubx7IvSVejeLaqQaSOZPptXK+s4/j2ehswhVoBoxJp/rfofTfD1u3Jee1PQlFCA/EI10p2ZyLIDSE6WuzqCK7bJUUc40/baYhCly9SxGu/e5TNAnBLtXr2dEoSsA9wV4csKEa3tMn3rjsUQsdljxtbICRodhBlm5zhUfMi5dcVzlE6q9rlmFxoE0fJq9cuyK2R2ajxHu0MgV9abcf20+mq1fawAlaynU/x8mjPetStE9oEC5LjOkag6cmcebULbaRDOTqoos3UgC+HqKPIdIO3WNbGjQklLi5Jd2C0H2nPqM31tpRNrtZkWlEDaIOvkaXmQtonqiYIAUV6ZDtnNkPNndT6Jdiq0nZyzfssGOcfLe/F25LQ6u8ScVo9VtiU+kMBPVOd5vSoSNPuz/di7bzRole1z3An4lU8UYG/ko98BuaIDI4uElxeJ4GlE+brvubsts05CVK8WlfMch2rbXokVcRt/l2mjRVx7jpn+gjgZHe2nldPlWGbKuCIqFzmBmj3V8ZIJbljPuvMZj+UjwhWZhyzRMmtnxjbk+URj1Konsq8qJDNrmVcnYv9dASCtb8h6PdGbBenb1f655S5B4v0PlBkfi9zLx+6AXKmetQhXxmH2yrXy7rpLgoJGqJCJX0altJ0kKz1a311tbEVVz8/GyGmEdl8zi6p1rboDEvVpGR2eFSEZEXrFYh/t1lj2ZcZH5h7GcSSjyx1Egro6Di2nvtPu7DVrvpsV0Vqd6Lw61l8JQqBlV9KsWL+1+XO0Z+xzVlotwDO2t3dfT1ynd6AaiCD385E7IHdGBtBoZvdOwuz2dVT+WEcnXRHoTPQRqcsqP5Onije5onZk0lUdjy6HZbZMbWxl+0AkPGfGVTUiLAMbSPkas33UGlvdO13V/pWtp5L3JPsc0Eh6FJVH7YuwIvxRPdF84u3mVIMjWj0zWO0/G8iQZAKSXf1yrPtWRm+zYfcjgkJkbyhANmGlI39F2Su3xEdQpxuNsmWESfYeZ/tZlz2aHdp9d0SGM9HV1WjOaxSBRB2NLmfb69+IjajDuNJ5l+V3OkwWK4IoHUIsctKRnSktWu4FEKqCOrLBq0/7PFNPRbjLuaVT8EZjKNq96AQNqkVY/eZW3+diAXJCIbInHytATnbqkCsmh857vdqpRCI4s44kAhppllSfJ1rXzK4LKuwyEXm0/qvG30pHIeOEaXnGvGh/RQWzF0Xv2DGJbETpej5d0e+Z8pGxnkmzqm0iIR5F4hERFQmD6r1lyqkEi8583hibfTYrn+3Iqrl7mpsEyElVqJM1fKQAOdlNFa8SIFUHWitLY7fdDxTUiYy2ySN7ss5eFKX3yrIWTaR+rV6vzbsF7Yqo9llu1bFDHP3IMYqeySoRHTkgUXQUjXpbu0xWvVl7LbpEcIaZXUKkr8yQFf7o2qD1i4po9myNxocnpFYIEStvx5jsGtfR2lG596W+0IIX0Fdxq0j7ID72JfTj+HcyWOkIIayK1I4TSjbiFXF1G1n1rXIqZ8sfuSqibNU14yBZ5Xc8/5V9SJaNPMfIWep8jqjTh/bFimMc9ZXxvr17r16bff5e20XCGrVD5qn2gTNfZbfM6yvZwEi2H1q2oRH2yg7JmS8b8NHabGa+WuUXzIiQ0Qbvfsk8SP+mGJnjo3dANLJR5476kKhjpVykjM5I4N1UhULkmGQiQ2PaTDQtypNdSKvpJVGU/CnMio+xjChqjEZ8vZ0ZzcmLIsGaHcguH+IQevkzXNV3VgmfbgcPHV/e51o5mTTes9d2SSp9P+p71vyn1YXuvET3puHtrHTsXkg7svMSGtyqCq6rdkB+/H1v0DeiIoBHdrufXaEAAVg1MJEoUrXerNNs1fU0h7PTQYgifVHdiPhDnQp0IfUcgKwYfUN/OPEc/TGNRkacoKDPFn0mSF6rXlSAnHksh9SqqzuSvEsEsrqbgQo8RGyiAsQTDtGcgYo5y/5sOdJuy8ZsWd71MY0nXmbXlw4RgwTOKgGo5WPJef9jlzF9HD1tcXUg+6lQgNwIEpm6QoBYtsyKoCtBo2KzCxlaPxo9kQu95awgi7cXIc/aVL2+K93CtFJ+1fmIHHk0ShyJl9VtpNlWiTLu0v+8yD2SR/scFSHjNWRHIhKensiuCpBMWZmdIJTZ/FpZmkjJjJ2utIg49T6X3C1ALrUjYIUNO9zXjlCAXIy2xbxiF6QauY8msF0HUnZh0p6DlRatu7JgoDZ6tkTOjyVwrLJWCOK76XT8x2vZ8j2nr+KEaY6R9W+LrBOlgdqu1T3mf0rkUAsWnGTHmLer5O2eVHZMtOtXgUTuTyKxna1zpOu+LfHprQfoOMu01ZluZpwsH3eJF9DvDjhQgFzHR7+EvpKOHYWqU4A4kdIWL5pW2dK9kmwbIQtGNjIr28uyzVtQxmtWOq3O7GKVRbNr9z4R0SU6s3WOdWt9A6nbe95RhF1+pv1bq8/KP/vsx+fwhkUafX4yKCCfhTYfowGrrD1VLPuRNNEcKfNp9+3N3V47IeuqZa/2bOR1eR/WvXkg47Eb+UyQNlqB1zeezBvmt264A7IQNHKKRCcrdUeOiBYZ15zz3QdNJSrmRVksxzpaFCzbvMUMLcOzJ1ocx/I7nufdEaoqSDQy69x1L5BeICCyR5aBppd5vXbyIvJafTNCflcyIs8rw0LrA1ZU3XPskfpXO7Md/RTZaTivZ+a4zH1rorFSVkX8INc75vRsGSmBUvz7H1f7HyuDak+b566AOyAglYFwZyfzJmj5b2+BO9OO5XZxVwQdXXzRiKIVoYvyyoXVKsOKAnrRQauODhESCaHdGdtNktmFmHXcrLGGOPnW+JagDmAkJpC+5jnGHk/pN8fREzDSAgXj71GfkGnRecwqAyXzTNF28Oo602T6dfX5ZNcC2aaRIOpilWCsgD7f73/dN74zQm212KmMubfzx90GfCoZp9WahCO+f/2jTliZgXaWcf77CjKLXHc90olCndExr7VYIfZaaTSn37I/qj/rSFg/sszdQfty5Tll+kmmnkq7ymeklVnZJfHE9zmnyLLftNh2OCiemBh/R8ux5gV0zGfuJ/ssO549MgeP94uMa2tsoAGksZ9HY21V8E7rQ1VWOd7o+mnRaddu69Ob5sUZKEAAMg7kTB1ZhwEl2j4e01k2oYsAKpbGNNm8VjlVvGjkmMZz3K3r0uHV7lE6bogI0crV0snfZ4SsLO9J4qNKpT+feIJjJhInHX6r/rEumVY6Y1Y52udoH3pTv1jhpMm+hQalIqK5yuqr3rqwOjLcWX60llqfabsaWrnauugJb2Rel6LGQ9ttmWVmDU5xw18/H9tLu8eucZe1ifAIlok3eXd0npmdjZn6MpHPTDROpo+crciZR9u5e1vTqlM6ad5ibTlrqLNYnRCzzyuLJ0Kegnweq8f5LJ6jUdmxsO7Zckq1iH0kWrSyd2jL1SDOo0w/ogW65DqBzjvys/EZaGmjvFFdFlFaqw9l+tdYjzVPI6Je1h3NFdYzQYIRSDlyPfWuz4DY/0SsPh+1K7kOvoRuEE0unZGHkTsGAxIBRfNb1xG0SR8lu/Bbi6q1eI32RDaO6WcmPVQwZvpodsJ92wSdiS7eAfIsIwcHdfi8MZ9xoiKnr3vOvJrMGIjuVZaVcWJHonnHuuaVhaRBbMsQBaKQ+ry2zpSHllNNj9qArC8rx1J7+Te9gI48tzvWt7etqTNQgBggkdKOTrSq3Ez92oBE7co4F9mFa5UAQepF7t8TAlKEVJ4pEpXOLo4V3jJhVvpIlyCpCFWZTtqUFadZhwypL6pfK+tJVPq+lycb2dfwnFRkPo7yWnXK8mfEPJoftUuiPQPP9qgcLyCl1eExK0IeJUASf/9jpR3WuLs74PvpUID8DyTS+LZO490zuhsx61xnFoNMuRkQwZGNbEpbVu2YdZaN1PvkMTArJLJRai/vmd/bjfPKQq9XbUbq0NDuCXHcdqUqQI4jjl7PPOMxTVaAjHZY+aN6M+m9cqIxoPWl6g4BUpdGJhiZHcsoY/mrx890HZ5HCQqQ7vu0Aq13QAHyL3wH5PCj1drEIheRJ3Yma6E62yAbScsyGwXssAN1jLxdIaT8TlBhmCXaSelaSO9iJlrbWT8SlY3s8PqjFS3NRqK7ovPe9Z3nzRU2ZtaKaKcBcZqRurT5X9qg1dtJ1P+ssZEVH+P1StDLu3freUXiCW3Lq8bMDuLjzTzVX1zFH3cbsAtRp5CO+XEcv02K53WZblese85EuDoG0/ev+ld3dkWXZP3yOUbO4dg/Vj//7glMW4wtgfiEfi2piA8ZhNDa3Po8ssVyuDJlReLDioojOyKeU3r+bjlZlh3ejsj5b+vnas5nUR1naD4kXSQCKo40ytkGs0EIzyatnbW5OCrT6yvj2KruZsl/e3YgZUVobfJpjqu2/mbzdswhO8xJb4U7IALP8Rqvab/LMiRaFEM6HlcqZK+uOya7mcWhUpd8htp17TPrWcuyVketup0NC28sPJnonqPnPabT8lt1jmVac0jG7oyTZEWAPdut363xczpLiPNwVWQXpbNvdwhNSSTuovq165E9HQ7ciCXmrXkTuY9I5GTtze5UybrQcYaIul3GxhTF3Y/OIADio60ui/wKBUiCcWJERIfnnEQixCu3g/EeKnV0RAFmFmN08j6xorZRZFZe08q0IsTWYjTzTOU9zLRfhHV/T0I+X8spjPLKz5AdU61+tG4POQ/JujQhXN1hrJARNzv1rRV93RN/XfOuJ0i9YJglhrWytB2Eaj/S2hmZh2fWSPTZZtcVKz9ahlffjB0Vpvv/xAvnFl5wJWsrKmivLuuT4Uvo/yOaCMZ08pq1syGva1jOqrRrJZUFscOu1Q50hNXOmqNQXSCtvHexW8R5Jd5Ynok+VpyfM+2KBcvrY9X6ZsR9pa676Z5nrfmiSwhqbW7NP5F9aPlaeZl7sGyOHEvrXrKiwrI7Oyd4eAFHxA+Q9lhldlPu/wve+cg814hqn0HJlvf0gF43f9xtwE5EkdBxQhijHOO/x4jSydjhxrxWVN6zSyt/lmxkdlY4nD8rBiJaprVrYT07b3G3dkfOtOPz7qAaNUf62ltAx5JG9LxkX4jGpDbWvb6TJbsrk6337Qvm6p2PbBqrb1hzUFYUjHOSVb83fqr9WCsTCeyMNmXXv6wzuzJYpLW5tk6Mdnya+MggfSntZ+wz3Wsexcc8PIJ14FvWVvqxY2mTtxbZkOmtKInmuGQnYO++rDwrBkrnpIosVqhNnsiQC320iFbtQOy07EbyzUQuye94fcW6PjuWkfRIpFXaquXLiFVt7vLGp5X/Dq6o26tDczi1uUcrBwkqIEI8c21MM/PMx/RnnkxEe2yjbL1WudEcmxl71jOT17w1USuvmyX9f0J8dNvDdW9vPvIIlhXlRga759BZk5XlFGQGh+c4eLZ6E6FnO5oWYVVUqWsyQRdSzXYvTWUhtsg8dy2f19feGJXxhKnnpHfuSGh1d+L1W60Pa2O806aZxf6OPniV+DiO3wNVlh2R0+ulQ/p1RiSj/aPjuWeFeXQ/47Vo3o4EzKwTG/UxzU5NyCBlZSmPgUXve9wZDFhd1p2Bll35uB0Qa7CfEe4IuWMx5pd1WL97ux6ak4TWg9g9lifpnuRWOLmRjRmnanwO1u9nnVEEM0P2GXaLj7GcT4oIXbUAWGO3o9yxLGuesZ5rZv7IOIEa2fu9enHerb5xDRqfoyUILPGhPbfxmhZ9H9NJm6qgZVn91CpT9v3oGVoiXdaXmd+zYxpZB6MxiwiuLJ/mEH/a/T6Bj9wBOY6ezhjtesjPxs9RO6IIO5IXXQzQSHyXA5wlG5mrgkYBK+2QKStyEDP1ate8qOzTQdrOEvqVupBxmY3ySptn+3+2DMuZ9Vgparq4ss8jDqO3y3H+7j031CH2dgi0+aDaP7W6ZJ2Zsqw0Y3nouqqVG9WH9HlP+Hlloe3tBQ4qUfjpMTB6jQ/a/dCo1Fux961r7QwfLUCOoyeKcDLrFFbSddWVcaYrE94s2mI5fu5RWdCiz70yPKTtngPcIUAywuZNk6PlsEUBA62crMjPtjvKjGgZPxttqTqbGrMR8+6AhcYdOx8n2XaLdjW8erKBjm5B7PUrZJ6L+qU2jivBOasszU6kLITK+PEESFS2FB0tY+BhAsQrv7K23+UHvY2PFSDH0R+hz9SbmRyrdiKdfqUgWiWitAlVA5lw0IXXi7ihEXDvesUhrEZuxvxvFiNd0XbrmWtlRAtddfcii1WP1U81x8uL6GbEcmSnVc6KPniHIzDbZtE4rcxnlj2eMx5F+NFdgLHuyJn2RI68h0zf8QRIZY3LUtkJseafbLvsJkDuFB+ZMhCqgaxP5aMFyHGsX/C8OpEokTYxzUS/s2ky6bryjfmPwz+S4IHe/2xZXnQyIzZRqouId79RhO3pk2fHOJ/dMUEFUbafR2UiTiHy/FHhX7UPEXizrBLciIAbr2dEQ7a8TP7Za+d1rV9Y0XitDKserV7PoUaj/FEfzzIT1DrzZwSIly5Tb4nGF9CvcMyvdP4zz+Tpa2oHHy9ATu7YDbEWrWz03Cr3KQLEi0adn2Un2+y9V6LlmiOWdaIsZ05z+KSdswslUs4d46KTDvszDoHlxHQ67RGR46ely4y1zvvwBPFVz25WlHiBEvl7dK+zePPRaIuWT6bz2khz+Mf6vXoj0Zml0lciwZjpc11CPCozkwYRpGUeJEB22XmIxoRGR1Bkh3v3oAAR3PHQOqKzY1mZSXiVAJmJ/FtR1u6dD9QmJKKN7CxENml5I3GTqePMhwrYSvm70TmeozZHBel4rXs3wbMXFcRe+Vc5W1Eej47+2xnEiZxtzYEfr8kysmJR2oo4p9augncfSL2VMj2n2grURCBj2btupdXSzziaXj9E15tO/+I4jrbjV1eIj+O4f/2q2tERbLz73iMoQAQdgzX74LsGSiUK1LHAzpStgURxLDoFlRe1QKNRGWfIclCRvDPMCKcdWd1mloOoOVeIAFlFJEgsMg7uCqpivvu5o4KtIkDktYjMzkbnDgMqcmR9aF9H8qK2VB28meenpZNpM884gyVKtXRoACKkaffjyp2PK9ZQ1JZPqDcDBYjBTKetROBmOstKpd8ZVbLSjnmiXQVvEcramRVfkVMUtRXSPjPRsgpvFR+rxZq1uGkLXxS1zjgr1q6JFQH2xpPnEGuR5YwDmx27SFmR6L9KbI7X0LndKmMsp6NtIic46ota2Zbdmu1WG6EBmrGMihCpBP7QfBkhWRWbK+y31rHSeHmgAJGfn1yxzt21C/ME8XEcFCAmHVGDTN6VOw0VKmKiOnmeeb2IzorJO3Nf1qJdicplhApS3gxXOHFXcNXCYkWWUQfw/Hx2ZwEtA41gazaen2mCSqafsQMdQ3eK5ahtkHwy/5im0qYR2TLRedfb5dDIiA/0upV+1S6IlyfTL61+ZDG79nptkr73h4sPLd3J3cHbN9Wd4eP+EnoWa/GNGDv3KhW8opNlRdPJrB3WJGw5bplInle+hxcxlvdrCQ3tGc20VUfkT+a7K0rTxZWTreU0WMJEw9vBsOqsOv9IOm8cdfQPVARZ0fIdRDLyXJH8ck44y0LbJ/p8RtxGQRZUeMjxqLVdJLqQuV0THVfMBaNNVp9F80ZEY2/mXlO+TVOYehfxcRz2DiG5Du6AGGgdeSbCclKJVGRsnCEbLelojxk85yi7SHp4Ee5IEFwRZZkp/86o8gxX7XggdlhCtdrXLSGQKTNKX43eduyGeHiiX9pwF5kggDdvZtvMm4MsZ8q6FtUjbfTmV698ZGyg4tuy8SzPGzcWVccTuSckL0p1bi/v7ARe4Y+/aztHu4iPFflXlfXE+lEoQAwsASLJTHDRZFeZMFYPmGih6BrwMw7MisnZWmCiqNEO0dosT7B5Rxsrzp0EERta/9NsQeuKxvlYZ3R9dtxGjqPnXN8FshMhr1n5ZkHWqGx54zOpihhZnvz3aLtXniYwvPnYK0OjGsiorr2eD1G9B6+e0jiJPMLh6FXUflfO2zP+UPe8cqcAeIr4OA4KEBX0AaKCxJrIq/XK+mc7W7SgzE5+2ehWdK3LRuRZIBOo5SjuEqWP6H7+nezgcGogYzWzWxE5aVp5aIAk0w8RJxqJhiP3gDjtiE13kHW8ZNqO4EumjaKdCfm5FTBbIaIsm2S9njBHy9GY2QWprNeSaDxVHErU5/iNhPjQ6jyOe4IHXU53h413CYCn+BsjFCAKlZ2OrvKudrhWTRKWAy/JCo2orLF+69ponwXiKKGCo7s/dYMKxjFNpjwvjVX2jjsex4GPD82J89rZC1zItBIvDSqixzq9OqRdMo8XsbbSW+IL5a7FvjJ/WAKkKkaiucmzyyqrS3yserZe/0Pya+WhaWfyZYT0rDNZzu95g+BL51G7PGG3odp+3PnIwZfQBdbgiKJ8Wh6Jt4hbZV/Zobp3VJAFJxuZy5Q15kUYn4n1bMY65DO06nnCpKAJqA7HyHJmxnRW+bMR4g402z2HYbxf7769e+q8X08IaWjPbbTp+9c/kNM7jqNonpx9zjsLfG8dqc5zs/ZY5Y/99kynzXEV+2afbUVQrSazViMBLa+Oqm0pmr7lCvWD7vBxUCpB2W4BkCnvieLjOChAjuPAhMQ4aKzJxOqo6IRjTfYrOpYVja3W1bWYRm1bLbcTaRcSpdsd2Z6W84mUg/b/anl3kFmEos87+641fq36vLlunNss8WlFBr3+o0X6kXvJUnEaKmT7pPdsLKFXsaXi1KJrGfrcrTnbSuPZiPS7qAw0nSa2UJAgiqzH+t0q543M+B6V/lAlGgMr60XF7Q5rZAUKkP+ReYCaGPGc0Bnnayynmw7x4dkmr1XFiLRzthwvjVW+jOh6i8UTFxCkL2T7YXVBtfrN3ZNspzjX0lTbHHFgrHkosk06S55tSCAHIZozItHl7dJkQOa26Pl4NspglpYOtVMrA8VyhLV01meZuTlaF70+d3fwycMav+M1K5AZlbOcpt2PCoho1fJk0nfgrUl3+WhPFh/HwXdAjuPIb3WNRJNONno85uvq3JHDPNuBZyKWKyeQyIn16tYG+vm593x3cZYzSIdAtpHnaGkRVEQ8ZJ3XOybaTMSrox/PBDG8qLr1WdUmWd+YbsUchkbjrfSVusbytfuIhLoF4jghc5Q1P1k2WaD9qro+Voj6NdKXs89+1bydCSCsqB9C8wAvFCCzfffOtfZqG7qCPLvAHRAHr3NFC3NlwdeiYh3iQ7Ntlg4H5yrxcf4u21baHN2D59jdvohMEN23F53SnIIo0l4ZT1fTVW/FWdLayitH25nQ0nQ4v5YYiCL7M3h2WwsysjtRqTOK0GvlWHOwNfeMabICx0JrC2QuOz9H6xjL0cisE1Ffs8rrCtbNgpal7YpctobcLD5OsgE8bT67a929st7VOy5X8/E7INGDzOwYdEXDoyhPZkHQotldzIgQL6qLRrmi8iO8hUuzAdlRefKkYDkp3qR35TO6sm2RKHs1Ehs5TGPZniOctWXMh8wt1Ui+14cyoM9Ay4PulmjlaXms8a6V69mAYIkTq25pd9Tnss8YoXqPcm7JBISi8rN0O7Izc9dla8mNR6+Ow77PzFym5blyR+KONf/pvsYJBcjEg8w4251lo45blyNgldEdnc7sQCBpUSznLoqyrBJ4UbmdET+k7rOO6NpoT/ezuUt8WHVnIrxI5Dm6Niv0Mk7xrPjXysui9S2rnaLxOvM8xzxRnZZdVh2z40YKVUSAeH1hJnBW7beewM6KporoHOl0YL258g57VDYVHx35rlg3KD7m4RGsCaIJb3V0OGLVIMw4Xx3loteroJHsH1+/flPKKsffskdzFLpFpsxrOQjj75ETNdtOO022Fadg5YKBOHqaiPQc6q4otFZ/Jf049ka8e/fq6pgXkTapzGeeQEB3OLTnqrWhNZdpc132Psbykb4p7a2UpZWxS1TcEsmeTasCfcdxPDbsvDLom7WD4mMe7oAkH6jl9Fns0Fk67VslAjwsoRc5JJXnau0+oFHtantaTkXGyVotOLVoq7Sne4K8egcE3Z3osiezM+EhHVcvouw5eVZ+tG7UFqtuLZ21s6Hly8zNMn2l7b2xkC03Gs/WM0V2YzL2Zu32yPRrdJejsp5louZeOQhRXVXB3GHbcRyqx/fj72sd29l14up1QdZ9l19HAfIirIcZOSFRHm+SvLPzeJ03M/l2ipDIWcqUM5IZqNKpRhbxLqyJNHLwEecCcTqr9mp1r6JjscpG3zXuEkEIVUdvps5ZIhER9TVEBGec/1mnt5o/gzfGR1tGvCBKZn6YEcuZoMVsW1sg7YSU4zG7a4SuvVNiyjh6dZVz21nPHUKEux99fOwRrLPjZiLL4+8yzTjBehPtbp0oG12JFofsQqulz0TuOol2VVbaoEUykcl1zKP1U638tzPzjKxo8q50zCta345+n7X3rFd+Lh3SzD3NCAUvX3TflYi3RbRDMc4JWXHl9W20/2Sfx1h+ZJeVTpZX7YfaXDmzY1LN4wWJIru0Nkil/UukvVh8dKONi5Uga3OHkF3NnTtIIx+5AzK7WB9HPHEhHfTqh+9FwsbrVr7z36uIbLPSRYt2BPI8Vj8za9KSi1MU4e1cUD1bNedhFbM7GBUbd4hyWc9e4jlwVr/R6vQi5BaVnQNkLon6V2QrIkY67hedFz37MvMZ6siPZNsxSlcRo1ofzggQRCBniZ5jRYAgeWf6PVKvmd/4yt0r57rVdV2xTlvrs5amy54V6/f57+OYs2+mDAqQQt7jmNvqzZTVSVUUrRQdGlp0Tl6X9nqLOwISxYychhkiUaFFMJ8atcqC3CcSOe2uczVWXzs/G9NEn0V1WPllnchcgDjK3r15tnuLpyfSPFtluWNd0X1FC/mMgPPs9WzUrqMBM60cpO/J64hYiMRHVqBUQIU9Ws74u1ZO9zwlbXDL2uTo1RV+T+faPJZZFfIz99z9fKK5rtrvK3ZSgCTzjSBlII5ttswqXgTUq/sKAVKJqp35jqNnIcn0ixWTNupQZcTHDo50B5nJf2TWMbkb1KmOnJ+rgwhj/Va/juxCnW1EzGTsHevLBAUQm7tsi+pAnILOdkPLscRnJCot28e0FaLxNTPHRmtSt5hycb5yd4WzLvGc3ivrvLu8yj133kcmmJft+xU7H/MOyA6dqarevYVTLnirHJ+MA3MFHY6RZ/P4rLra1IpydUxKmuNzfuYtVpoNMu0uzvQs2fuIIrtd9axktCMrsC1nbzZtZM+I5Wxm21iLnnpR9irWmJblW//WPusWRlGacx3xsKLRkTPqtT9CJCJl2V7fnmVsA/l/maZS9vh/6/rIsjknCDGvWNMQIvE+Q3fApWtNQMdZd72ZsjJzwaxtj9oB6e6oVw42tN6Vzo8VhUAVcTfZhbnqdGQWR3QyqDi2XrlnGV70OnLARhuzC3oHSPvN2BDl7xLZ1sR7RaQQsUkDiah6/dcqp8uxR9CcQMs5ythYmSfQvhyVUbEDsU+rI7OeRPOXF7E+08/eiyVIrxhn2r1UxBC6XiP9c8m9Gu99RHSuF9k22s2/W/FstP5W8c0q9VXzHwe2M5mp5zE7ICM7RSgreLYvnYwEq+vxJm8rSuctbNI5QZyATryoX+fkaU1MaIR6R/FRTTvS5Wh6SNuivngVkdONOppnOs+51NJbaTxRjIIsajP1oTZ584u0S6tbEzDyGV1JFIyQaUfQSGn1eWvPcOybnhDtQKvDS3vaJ3/vmMcunUvAv3beFXjI3FvkkFfrvWL9m+EJdq6y8XE7ILODXyuri50Uq1XmSKZ8NIJoOSlomeiCsCJKhrT5qno1LDHqRVYRJ72LaDxGUeyOerVrGh3iaKcFAu2HlhMqy4hAHO4MnpOJzCFe38oy64x685hXZvY5WBHSTDQy+8yjMleKKqt9Vsz31n0hgjhTn8yzVHw4730geM8aCZTOzpez/goyZ1TKmWV1u2Xr6ywrG4h85A7IcVy7U5BhJydFY9aujPN/prXSW4u0t2ie1+6aRFY/V9mvtUVYLgpalDVyGGdAo7qrHQirTiTCq9lTETZ3gbShFsnXfj/L0wSBLEOLWFeCE1Zeq69o82plDbDqRMrwxJL83Wp7rU0rzMxpiPDxREY0PyH1e33Nm/PO+W52DkHL0NJ5TrmHdv0y8TGJfF7R8+7wg+T41voHKrxlPvmZxh3iY7RpdbBuFZk6H7sDMn52HPmHtOrBdDlbqzr/ieb0o215RUSqG+TesvVXI2FRedrEGznGMq3lZHYR9YEo6jtbd8d4z/bj3YMLI54QPbEcQIsozcx1zxbLcdCck4w9WTTBk2k/rbyxjCjdCDLONVuj4I51f5FNM+1cCQCsECDes43K6rKrheJ7HxpjP0Md46550hMYZ/laXZn1wbO12x+plreLj5ttV8TXeswOCKpqsw7kigmjEhXSylht38g40UT1rppkV07e6L1ZoM+yIzIp67QcsvH3s17PMet0oD2Hq9PpW42MrMrPtbRPw4v8jffkObRe8OIEiYqO/VOOFUtEayJ7vDb2+4w9Gbzy5T1F+bL1SrQ5JnKcEeE342B4fUzaVGkP5F7uoCparuTH338ex1fNJm+cRvlmiAIZ8t9VEWj5jyuDoVk8G8ffV7KqPbbcAfEiNV1RylUNuotqtso6DnwR2GUAdoJG2bzIi8RaHDvaD43UaY4dGr2s2jWWVYlAIxGS6vUoj/Xv8/fIvieQiVqOeTxmHWqrTM8OpE5rPGTtiBz1qlNtBREy93WmR/qqNR49vHUXsc+rUz4TS6whVPNlQcYMEqW/lODvfcwE35C8Xf7KXQJg1XNb5ceNv8vP7vZDvbFxfr69AKkq06gjfZoAQRzGkac7Xx6RU59xJjTHRyujMni1erW6xt+jSOyKvjRThgbqnFQnRVnmTMBjd7L3gYhXy4lEx49WpmV3peyKXagI8sa3bBekf2n2erZVRKVlg5YGxZsD0XzaNYSKuKqABKS6AqItAEevZuy5yqe6S3ysqvtKn3BFf5sRrlEAZQsBUoluZcvucmCQ+laUeRz1TiWd07FMj4zQk/nunEQiLOc9kzdyTq4Qt6hDZLE6GpYp02pTifd5pd5q3icxG/mUIA6zFalH0mbqRvpNVHa0mFvMzKUZgYWMecQRzgiVKIChrSmW/bIM6xqKJYCz5aD1WOVm1w2rnDYS33o1s0Yhke0ZKEDmy+vqb7O2R35RuwCpTDAVUVGZsKQdT+hss2Uji/OMQ5eJSO7k6FkLKJo3S9e9SwcBiY52LPpXknXoZqN6u7ZDF7POxkkliDGScVq0fl6pD82TDbaggQDPFktIeI7vSgFiiQlEaKAiRFKZgzufKVpXFMmdLa+FpACRzPhUFB/XlNkZgO+uq2JD+0vo1mJScdo60RyzblYPHsvxtGyxPhvL6YomW3Qo8LOcXRxpJDq/YiIby0Wdq8wuwi5Eoriy26Nh7by8kY65yetL8v9e/tEObcxE4xyNsmfmyqxDHd2rtEe7R83Br8wfqxw/6/6idcQKgmjlPTEAMGPzFX5I1pbZvLNryQ7z7xvFx3Hs0d+8efKSb8G6c5DJh7bC+bry4Ub2Z6JD2kJS7eBI3dk6PIdFW8gzZc/2g0yksovKAq45bU9b9BFbZ6JwaGT3ycxEa6M0WWdEm5Mzecd8yBwRodmPiKCobnRe8px8WaeXJ1NmhrFNkACINkd59XfPR51r/CggVwTmWn2HxHmWrnuZbRdr/rhy3n2r+BjR5pBoTrqijzzma3glMx1VRm5mBxBqB1pXtCuBRBsz5a+Mhp92ziwK1sI7a3fXQqU5U8fRH9nRnC9N+IzXLYdthwicRxR99fLMjMWMM/wkOhaUSGhkhYR8XvKZZ5xsS9QgIPZquwNnXq+fRs63Vb5nHxqEkM9LS4P2i2g+0dJm0BzRyK7KHDHL1sGbm97m7VxLdojYv52oja/s448UIHLy74p6ZsuZzWfltRYKea2y2xGlQ4kin94CnW03LZq4u4PYbZ/l3GmOl9bms6J1BypOSdXpetPCV13Uq45kVL9Ma0X7NcGM1F0N8ow2oMGDqC5rHKJlWLZ4c+qsCLfK1K5pdmXa1ioTaZOr57EV9bU53DeIj9ndC6//XSVEPmH3w+KKNo5sf6QAQck46GP6zAKWGWzn/xHFKSOEmo2oQynTdexGZBZp7TqygFj3rNlwh8M42jPjpGTrPI54V8iKJj9ZfKCgkV8tvVf300VJt/jU+pg2LyHtl50LPKL6ZqPzM3i2IdF8LeAwXvNEnVdOVGcFbX5+WiBJsmoOsNqnyvnHB5Fyuvp39z2sKvPk08SHVVZmbu2ob2SLr+GdAYnidO9QVMuMJvxImHi/Zx20TBQusrMjX8XB7BicXWWcdnkR4E6kszfaodWNtO+ODnaH8+/1dbR8rb2finbPWaFmRfa1Mqvj38qbDaRkHF3PaZ6d9yoBLsTebF7rWWWI5hxvDY1ECBKgi2xe4ViuKjuqM6wv+ParSPRW7gfN541fyyavvq759wnio7PMbDkd/R2p89U7IMeRj9TLNNWITRTNklGsWfU5Y9uKCHDH/XSUo9G9mMidGXltFZmdF8QJ2NG5nnUCZR6r70flZyP6O7PasZa7IlW7ZJ3n9WrwxxJN8t/Wtcz40No2Y3cUzMj2RW8MzMyxqJ1jXaMjiQT7ZF607i68frESaJwC4WPtWcwGdND8Vj/IzEFy7D99/kW5cz3uEowRr98B6aznBHXYtbRWVBCJ9EURDGuh9UCjktVF3/rdq8tj1+jHWPbJ6n6JRIIz0Ujt+i50PDPU2YmcUZn26XjRRavNKg4k6mRo+aL27gxUIPNUZMfqSCi6y2HZEjmEEciz9vpTNP48W5D7sdJVmHGeO1HrS/ztj7AsMN+K+0V8JivPbAClg+526Syvu6zjyM3lHq/fAfGoKnkvnxQEmkA4y7Oi5mOdyIJQXXyRe7/CiZZt4kUmO+pbCdpPZkGizEj09QkOdLdzWYlmy7RPaLcOMlHmaC7T8HY7ZJQ/slOmRYR5Nnhj2WXNWZ3OqlYGKhi1+xjTn/ePtsGYR/5bK9ey37MpQ6eDKstAo/ieLR381o5/iXpA8SHL2mEuywZexzzZ4HC3gPwU8XEc8XyWre/xAiTqpBbaBInWh+bzIoSZB7jaaZasiBB4zwkRIR1Ip33lxHv3pF4VbrssSN1ofcxLe/LGtpBIp3pmPtQcUdQRRkR15BBa5XnPvHLv3o6EN8/MzGnafcvys0ErxOm31rxojtZsQdZrq13Hz9Dg2UwgKFOPZesKvn/903ZuZcU6O0u2Pavjq1uI7MbKtbyr7R5/BOs4ag09+3A8YVERFZ4t0UPORO0iAdXVabPlWI5Ft/jwROHTsCLT6KSARjqvwuszsxMdMi69aPnb8caE1c+0NNZcmOmTXh5v3kTGuAxujGmQOUsLjkTjUKNjvUIcNC8P0ve9ssZ80XO38kcgfQ8po7u9V66dEMWjVx7o2ELKuTuCrz2rqKzKGvNJux9RXceRH5uvECDHUXN4j6NnezYjJrS6PTGAlmmVa7F6At0lkm49mzc4m5HTmInmynKufn7SoUOdHbRstL+/NRqG4N17NMdZDr2FJzQR0YKO6xXBoKzj7pEZo7MCQNYpx721nln2oiJsJmiA2IGW1eFYWn3y6eLjxBp/lQBCpy2z5RxHbqwh6Sk+5uv7Y4Ett5FZDBAnHSlj7KxjmWh0eXYBs8qUi8vYObTJs7vDRgvZSs778RyL899n26x4HiuRdo73fF4b08jrVhut6AsR0k752UnWgYjG4dlHswGEXejuq+c40NpuHC9o3dGcU8Wbc606vXEh782rd7ZvzLSDl9YLqMifrI1ePVrbyT6SvcfxWXU7eGi6beeAC8PF43xwctX6uGJuy6SN/BeKjx4e/w7IScXh7XCSZcTYikSNn2n5vTRVe7QyrY75lA7r4UVFO6Jfu4A6f4gQ1vJdjTUOM05IVUTIdpqN2l7NCvFkRfg1ZwSJmGviYJXQzYyNMc/MTkRmHekIeElnX+sD2tjJCBhPaFrj0ptzkDaW/WkUN1o0PoPWDz3RlinnMjTxsWj3Q+IJfSR/luraTa5n5hm9RoAcR9158PKg5Vl1W5Fcz7mSZVUiQtbCJFkZ0Yiex0zHjZweqy7NoUIjoDugOXJWOguvb6yIPCK2of3VKmPGXm2cZcn2xycgnb6ozbVnGPWnSn8b6/HGgyWQos+9emUdXnlW3mj+l2j3GIkQ+XlmDUPIrEMnni1aG8q5Olu3ZUtkx5ZOryI+zr92nhHPx+G3f/S5Fyxa1WZWP0DzzvQXy6frvNfO8q7uu7P1veoIVoVZZy5TviyvMolX8O7r+xe2Ld9Z/+jMdLSt/L/nXGv3u1KEdRI5Ihbe/V4lPKLnrUU9z8/HH1nGqv6L9InRLkvErmzPK+uS9WTrthxkTfxJseMJw1Ecaf0CFbuZ+UhzhtH+Iu3Loq1XkfBBhcU4BqNIOIo318hys224AqS9rKDhpXz71dZsX9CEusRzvmeCNRlOmy3bPTqc8Svv9Wl0tO+rdkBmsAawFcHRHDZNMWcfkjcxVBessZyZaEIFbQB3CSorCirTjXZov28X7VLwIqfavZ15xv9Lxr4xOtKd0Rjvd++Zafd5VXQnErLeZ9Y9r2jTqxZFq9/Jz7S5L1u+LG+87vXjSp3WPWifRfmjuqK1I4s2tpG1J2O3Va9lt5yjtDxyrkGYtdkr07sePaer5qPopfNs+3S051WBK6/eO+ocf++g8z6eKJJe8y1YJ9UHaql9SdQZx0m4Ei3SFpCZezptfJKznSGK+CBO5K54Akp+FjmJMt95rUuYRuPH6teWbWgdXSDjuUr3giXLXhVU8ESvZg8yf44gc6lXb9TfrP6t2RGJDm9MzfYPWf5IFFzx5gD5bySttCfKp9mE3B8i8tCyslSCgpm+2c7Cb72yyAaA7vAvsvPDbF0rhEiXnavsQ+qbgTsgDtaigzzgWfGh1TvLk5zvKtpi24W1aM6KQ+u6F6Ud/3+C2GFFKGX5MyJEa3erTs+uq7HEh3bNYnVkTrbT6vrQurLR7Ex+q19Yn0fzsnSmtbndKk8bKx391nNytWue7V4f8YIPUZBj/GzMJ0HGsleGl/9q8TGbb5obxMcJKj7GtFcKEW0MzARsLWR5Xfe6ar1b/Sw62/eVOyDHURMAXj40uoM+HNR5nH3Yo1P4RAEStROy0HW0AbqgzpQbRR21RTsSDZoo8BwqryzkXjyHRdquETmiK/qw5fzNPtNV422Vc4bWG0Xk5Wcn2egp0o+sMWFF/62x4I0vbTx6ds4SOedW3RmxYDn51n0ifdp7Jt49IPfh5UWZmde0+pevqYu/9SpCjonMvV4hRGbmnEwdURmVe/UCjN02dj6L7j7/uh2QaiQ1ymc5hxmsiSyyq8oYQZP1Z8qv2L0Ky1HQGJ/T3eIjcpDGNJrgsPqc5zxbTocV0ZHpsu3lCR2tbK1NrhTK3sQ8Y8PqCFSmL6yu1xO+yGeZ65EtXpmRA66NAS0/Kj5m1iGvXG3sjp9pYzdrBzpPWLZX6zzzzayxFrNj4+517ziOS8XHSHUtOPPKzzqxxu3JzByM3nf2Xq1xtaqtVq9HM7xOgMyiTd5R1En7PEp7BZEjiS7g2Qh2lyPkLcIoKyeeDtDIJOq0e2JTm4C8hb7qACCOihfxvLL9V7Jy4rdE59V4OwPWZyNeJDAjMGR9ngCvlGcFCaxyO5xnb5yg9c2IuujZRmVZ9WeiylqZO9ApjlRuPHo10inc7ojEX+l8z95rJX/m+cwKnRVrDI9gBfm9BdLLf7LTpKkRdSrkekS2DbwyrYXNcy4q9SORTnQR1ZwVK1JpRWY9ZwdxrFBn4sooSXZC654Arw4OrGzbq5+brEv23SjoETnw4+deWm+8eNFQ6zpa3ow4j+Ypbc3prgutX9owu64iZXjPulr3zLiI+lI7xt/8uNqX2DUQNGNXdZeiiudPVvJ327hC6GR45Q5Ih2L3Ju5IZOw4aCtYnc4axKvEFyIGOupF7vcsPxNJtcSHh9zdsKIXmXJGezqcqTvongjviJB13sMdz87qd9748cZw5h4qaaXgsHYzRhuRflEdz5690fqTqTMSb7JcmVdeG+3P9l8kvbRNc96yde/qRKf4dhzfj3XfdqfxinZT6BbWaH2z42ZWyKDlazau7AuvFCAdDeZF2sc6ZhyApw7yyHmdjTZpn61W6NIpQdJmr2uOD2LHeG+IQKqA7pB0cbfosURltg0qoruzrWfnoBmssTqCLJgZB16Wie5WSHGBBhtkeku0eMLBe8ay7EgsZNcdrewIZO1b4bxZ7SzJRG1nuXyNdo5eXe0870jn87D6+YpnPjtPI4HxGbS+dUW/es0RrG5H2Cq7UzHuIEAyUcuonJMuAWI5HdrvM/VGfWdcFLsWPa/Nox2KKFoZ9Vfv88jGLNbzyfSvFYtt1yQro9bZCFVFwGTL6Z5nkD6uLbjaGM6MF68vWeVrNntCohpYyjgI3phc4WCgAm8kGh/aM+zuY9G61CFSKjZE18oUv/Wqe3680gHNsmIuWzlXrix39XO6oh+8ZgdkpUK0FlOrLtRZPel80B2TZnWwrBpg8t/y91UTRqZspM0Qp8m6rqXz+l+UJsqn2WCRicairBQd8rMOEWLVEZVvRcDH67M2RXOVZrdlX2ST3BXwnnlVfHh5LXGj2TymQdoHEVURXjvKAIT2DCsipVt8jNdWCJHxmWRs0K7NYK3jK3yMma/c7YxeawIvKu8qwbJSHGi/d647K+zuDMJGdaziNTsgI6sGRDTZZtR0ptNkO7C3wGk2a59dGZ2uTuidjuNsXVHU1Sqv4mSgTogW6ZX1a/cQlTmmje7XstUqZ+VilnXEquVLp7WSN/rcyn8SOU1e5N9zLiNbtDlwzLPEeRvsssSSvBfUoco4/Zlx69nolVkRIBGzDuyqMWw9p+zn3TYscSibv/Wq+hwjf8Vri9VCpLvdI3u7glOrnXhZ38kTbH/NDsjJykbzFmJ08GYc/syiKe0c81v2a3VJ2zL1Zck67Uj+bN4uzrZFRIf1uRaNrbatfNaoIxU5imc54/0iztwORGJoZR0e2nOStmX6ujWexrI0G635ohIAyThtWpuhn2lljf/X+ivC7HP0rqOBgbHtOwMTiH0ZZNt2OaSoSDx/rwbRIhs0J7uVBV+52ykK0La0gmoddLc7ck+Wv7Yzs8GEMe8V9/zKHZCVWJHGWRHhTaBdnSGKglq2aGVkRdGMrd7CepX4QOpBnCNr4ZT/l+VFIg2JonoTasYx09J7Tq93z0hds3T2nUydmfHstQniTFhCAxX32cinh3V/V6C1uecYIwEhSyx02Bq1bzQPeg5HZj6yyswSjf1O0Plxtu6ov0xzwd/8QPpZ9hqy/ncLoC5xUwmqZOu9yolH7DiOvt2wTihADJDFGlngUafSq3Olk486M+PnT4wMSLKORBSN8xxz1BHwhEjkVERR1cjRQJ2sSOjIa55d1j2sdlasesffV9ep2SDzoov+TFTcC0JodiFpkHllJYgDHglAdAxF1zL2IQEs7z4yaxZib3UcRHNg9/jOBk866mi7h4v/4CASgEIDHqsdeK+uGf9jdo3JBA1G7vaV0Da7UjhRgDhY0bHzMySypoE4s1c4+FFH646O7UDFCaqINKScyKGR/0fsrDq9UQQsU2bFIb6qX2XaccYBixbxbPBCzi1on5NlWdc82zQihwxxdFBbq6LYaytPgFjjwntGka2WE44I+cyYQoTSzDyRJePYVsac5Zxm+jtaR7sImXjxfJbqfKIFxSr1yvK89JUgSLW8DMg409Lf7UN1CstZKEAckEie58ShA9sa1Ks7wy4DYiWRA4EQTShjOuu65ah4zsaMw4AImIoAydqi2eNdX0nF7pm6osU603/O615QxAN1yKq2alh5PGcfwQv+WOnHOhDhN16zxqpnl/VZRrBENlrBquo8FzEjyGU5HQ6aNRaQ/ovW4wUTptbPG8XHSLa9Zu4588w7+gJqQzfdomkVmfGzite9hN4FGnHKioaKA4c6h7KeiIotHjsNrM5708rJOEvav8f8st00Rw2t68fXn7/lq/Q3zR55H2i5WQd5Rf9BBCSab6bOkahc2c5eJNZzlGS6qr1WOVYe2d/P8iOnO3oukcMty4/K8/peps9488Q4NrX6ZVrLPnl9JsDSPf9raOujtnaOfdtzSiNRb6GVlSkD7a9QeRuJD4TouaB1afm8vl95vl2CZiUtAraRdP9thALEARUS0cKq5dEWSWRhRyORyCQepa1w52DynPruhVYr13q2Vn4rEjo6/lUxtcqxiJy98zMtfdbh6LQZWfzQfAjaWK86O2h+ax7qFlqWo43Ml1afR4iEghTc1vPVbJXiXUvvjVekTu2eZX2ouItsQkHL6BqbmqiW9XrrnjdWM3YiTqDVT6yypH3wePr7z+P7ce26afkeiM+xgi6nPBI0d601GmUBu4ArghEaf1xe48tARUo2f7QonT9euZbQsCJxmQ54ljH+3IFXt+dUVOuy6tE+8+rUooCj85h1IJF0SL/Jlhs5BJ4tnSKxasdZv9Yus31Gc1K9Zyv76miTNx9EtqLCJQqeWP+O5pWKTVms+cwLxGhOrRx/2jiVebL92BrvlhjQPvMcZtmXo7a27kuWncWbd6WN1fJlmVnGZ+YJw0x5WhDgJ8pL59bccCWaIIzEVqbsjFPeMTdoY0v7fAdkn7nDri4fKQvfAZlEW3zkxGoJgWy0qUMpW/Whdmg2dCwEXj0aiMM0c91Kaz1LmV67ZvUL67l6kUmkjSPHMrIn+t1jdJRWR52kTVkH3Sonky8qD2m7ijD0+gVat9fntM9lXqTNEJFj4dWRHcPePWUdYm/eRNvLujdtjYjmlajcMe3JKsGIODTWHGjVF609XWNV2jFTx2/tEHzr1RWO4EzgxxPAVl13OLZo/Z3zfee9XrFmjnXd9YwoQCbIOO3exI86aRmxEoEICa0Ozc5VdnWgOdGo44Eucp4DYdmCiEyvLA/knsd00iavDWacyJV0LCQrhLRVbtekH80b0dwj82aEdgTSn2R6xHGvCIUzLdIWmcCFJxa6x5EU9dky0OAJsg5EII4fOgeOdnWOHY+uQMEvtm4gPs56jkOf/6N1Mmvj7gJES38cawR3hU6BbZV/5/OhAJnAiqhZE722EHqRrqjcbBorj6x//MxKb5GNGHULDsuequMsyxrJRGWRSJ+3MMi8yP1ETg9Sj5Uv4/hdASoSEadItkWXUFi5QGUikmN6yynvECAekbMz2ijr9wRIZlyMWGLBmz+i8aTVaa0Zlp2IuEHze1TaLCqvKkBQ266aX2adwJ/36giQK8VHtEZXxqU1pp4kPmTe48jNq6sFQlUcoeXfAQVIEevBeZ+fZCKSUV60fqsuCeqgVcvQbEEc5aoD5E2is21hpUdEhmVPxjmyyo/KQj5HIoDI4nS3kxCJOu2zux2eLJmFCVnQtL6wgyCR6RE7skGBaAxU5hOvvTPtqAkjJK38zAIpDyXqk9m5wQoOzNqJ1j1T9o+vP4/vf4m8k7sf2XXeGuPR2oJgzbd3OredgaPjwPyiFURz70y9d4uP46AAKeE9uGqHjcrMRGSrCwkaRR7TIM4a2iYzzAiNKD0iGC0xJT9DHQeLFVGQqC4J6tRlIrAdZPqiliaKDu4wYXtk5x5E8EqqzjNKFHzIBCsy484qf9b+jjKtcqP0Wp3VObhTgFSc7bMsK8DS5ZRZdU+X27z7gQR/ouuzgna8Fs2dV9M9V6PBmk4yvl6l/+ywllGANJKNRMq0yKSKRJZQG7J5uyIj1fK8ejSHJBsltezKOLCWTVbeyqR95eRh3YPlaEUOwpV2Z8S297uk+x46Fm3U0bScDVSURGNlBZaQrdQdBQi0epH+4InWqJ6oPOSaNva0Pp1xaGb6JRpQ0+rWiNoOXR+zLBMgx3Ec3+YcSAs0iOaNeW+eR+p8k/iQZR9HPF921YWWnfU9dxAfx8G/A9JCxYHU0BaJrBiY6VjZhTYq68QaHFdEBjPiAykHjRohjrr8HX122fSryDiG2Qhup23jZ8fx+3GO6FmNRPeQHR/oc/TmGEskIp9r9mrtsiJwYCHt8mzUriN9DXHyZXuh9mnt5vVFr2ykLWSZ6O+azVqZ1v1Z5WbER6ZfI4zP7u758Re0UO9/juP7t5qN3tqJjJdo/smszbuJj5WsErqSbP/N2nV1QNCCAqSJ7IO0nKETrwNWJ+oo3cxkc8cEpC2wY3tajvBx/GpvNNgzab28ml3ViSATmcog7bUcIut5Xy00NCxR5DlyVl/SAgLRM0P6kue0ap+P11DbIycCcaI1qoEDtG9YDrjWrp4D5jnPnqBCBBqCN0as67Lu6DlY/SljjyxrJlA02oOsM95Y8cagZ8+KOahlTTNESPWvoGfvsSLKvLaWffTuud+a81b4I3c77hZIYGMn23kEq4Hsg/UGs9ZRIucEjaBaE4QmgCr3IMv00qPOBFK+FzG00mrtjdTpOUeeHV5aaWMX1iSMOgdjPvR5d/TVWaoLYsWxRttVszHb98a81jWtDiufVkc0djLlZclGXSs2ZIV71clFxGLUT63ngX424gVjxjTeZ1aftcQTWodFtA569VWc7aj+NoKv4/XQnoHXF620qEOaWec72rwKsqbt5Hh7rGjHzDO/EgqQJrKDubqAaWkQu7z0ke3WwlS1w8qXcX7R9sk4ELNlVuoc610J+rxmHa6o3KvvdcRy/s7fPdE0TuBXPEfEgbP+raVHRPqd0cuKsLGcqdUR2crcjQSW0OBINpCE9tVoDHjleeVGdVjpsnVoAnlmTC4NEo1eFyBAMv3Au470Q1kvWs+O4mNMc4L2/TtYacddvofH/+2miJ7KOQi9KOE44L0BYV3LPCttkql27mgCqkTfkDqrVKKjVfEhP5NO4ZjmzgmgWo9nO4psnxl7MnWdaHVlnFNv3Nzh5J72INFe1L6Kg5NNaznW1tiLxptXRrZ/ZaLKsnxvLpfrgjX3a+LDwusXSDoLb97u6OOV9eeuqC0ivK6yB3neaP+NgjOaeI/mBivdLj6l5ZMh8+eVfJr4OI7/7YBE6hBllwd5J170zZokvCinLBOpeyw/ul4puxLxQCanyoKJRGjG+rTnk4maRs8l40TtOFaqjgbqMK2694qTgs57Yx9DHc9ZovvJLPZZIY5GC5FyvUXeGn+WzdE4tcbmzP179cu6rDJQ59Cbz7qFbiaIhdqAjCEEry+g/alSr1fOTDoV8BjWzHyMCHRvTutg9Ro3s5bcIWwtKv5UZi3d6V5H/u849Mh8xdCdHaur8CKRGeRChOZf1fZRRMTivA85IWqTY3WRHfscGjHV/u2191iG5Sh4jpscG7uNkYqTVnFiuhe4ETSilY1uWgECz1meARnz0nbLafPuY0w3Xo+eq0w3c/9yLHllWWP2/H38DCkvS8XOkSiv1W+r82K3aInq0siuX6j4OP+vpYuc7C68sXYn0Ti2xu2KvoK0vSXGV7PL85sRH0j+nX1y8x2Q6kO5+2HugBbt8iISUXR1TO/VNxMJyDqT2QEzgkYvETzhgX4+GyXVnqWVftdxEd1/9Mys8q64X0RQSJAxZ6X1xnMH1QXDssdrC6tvVhbFCM2mmUisZzuSBy3fyyNtQIMhWjmR7VFZkcC06kTyRPZZdVcDb15dCNn5StbXOf5MgF2QrmdxprfGeLatK+LW659WwK9SZoYdnPPMWjn7zHcjfAl9dhL5VLxIzknkxMjFzxqkmcivN9Azk1EmooUsvJZNZxpLMKATIRr9RRwN71pmkt2F7sk+O0nO0DU/Ic9PsjLCWo1qIfOORLsPz1mx6vTKlumsuQ4p07Pbyl8RHkjdss5ItCCOMZrPs2W0xyvTyhelRe5hJnhZfX4zznmUJgM054MCxBqfGl3iA13vsnT1Ey2AVOFuX1Xr80hgT9IVALga6FuwKEJqWJNoZvCgogFJ732eWRRnHVGtnIygmBEg1kRsCZzx90qUcuQKIVJ1nGSaSuRUloc6n1U629N63sh4vWOui5yGqpMgx4kl0j0H27NPXtPa1huLGdtHovE9pkHbEZ0PrH5kjZPoumWHvN+KgPXux3p+Wt6Z8VB1biWaUxethdq1KlCZyrdhVR1R9HnL8ZsR/pHAjkCDGh5d8/7dPqrlc0X9Rs5NO61LWeCv4c089MiZfSvegI4+i8r1FlfNhrN8a3H3Om9kH2p/5MRai3zV6bDKtmxBJuGqGLGcnDFP57iYdQo8h2ykIj60slYtHhWbZXnWYu05eiscmAyzTlvUr73+i4xzbbyj43TME12znlU0/q06usqRZSHiw+qDiIOCjFN0/Gj3oLVTt8NTdXQRW6L1ohuzfCFA0LVXkhGb3r17/TuzliLjsVOkVoXMXb5pJpBwXkPF9HntCX53+u+AVNT5ExpiFs/xmo0SZRSxlc8j6sCVCcRaPJAICjrRefeB1hHdi+U0IRO3vDbbDyxQ+6MyRhBH1CtjleBC+jriAEZlZ/Jri/Odc14kCLw8kcNXHZteORUnM7LH6n+WEx/9PlKZb5Hx4IndjOOJOt/IfUXzWmWeyFAVH9rnSPmrx+0v/eovUdc3XDz+LAOwNxIPY1mZ6+j6GtlUIRJV2fyrqM5rnezsf5f/EGFmoOzcAJ10R4U0xZsZdFmx6IkMz0GpCh+LinMp83tthdQ55rMcEtQOpA7vukxn1WXlQe/N669RtEXa0u2UR+JG1i3J1B2NOy/t+Pnd0bVoXHpRtQqoEB9/94RI1iYv4JG1V6Y7icYHWoZVLioepP1IX7XK8oIkMj1aT9YhjOpEn1NWqHllLcPyuIYjWF1ONLIOZvoO8twr4+MTmRFwHneuPVmm/hJ61sGN0j6d7ISOlKNdi8q/KxrlRR1RZpzwsYwuAaLVPRtBRcpHPq+SdboQG6KFzcsbgUSMPbqfx3jNK6/zuWUdy5n+fCWIc9Qh/it2oXPGjN2zwkF+Jj9Hy0LyZQSIVUdUjzZvzz5zZM7qaEuIQHyc9XcLkN0FQHc7z46HrvaPbLOYWSuf5GNPCZCTyoL3VmYmr2wk3BMoVlov4omUJ8sdqURRO6PiXjSwQ4BYdctyZgXgTFQzU3YmAjjTN2fs9/Jmo+3av6tUHbCZdtHSZxyuqEy0P0TpstHqbP2j3dZz1cbgbBRd2uH1qZn6I6x+UJlnZvtKZ4Btpl9VBEQmqDI9/zpe1o+/9xUH3Y74HQ5yxzw7W6bMG1EdV0/zrf+voxAt4uylezMzjiyaN1qwx2fhiRHULvTZjmlXP2dZvrS3sw7r3rX7nBUfY56VbZhx9maZKS8jisfr3rWr5yHPOcoudlr6Ff0F7dtI9N+6fv4/EpJWeVIAWEGVsQ7Ptqwo1+y3xn/3nCQ/u9rxmBlDFRGTna862mO0syS4gtAuIjyq0fuqIM3mz/SBuxzkTNBptfggv9KyA3KCPGQ+vGvQhI1sey+i6kWnomij9bmXNgMaKctEzjORMtSZ6QRxurO7E9Z9dD2PzjbQnPAup24mktXRdlkx5e1GzETOECfPmldk2uoOgFd/lD9Th/bcvN9l3pNKVD6qIxu1rzjHV+yYZMo9yfYTbZ3KROO1MlLpi97TKT6QvlQRIdl8lbya6PfW3B38vmi+7FhnszZIPmX34ziaBciJ1xilSAIpY00q1ecws1hodEdZZLnR/Vt2WBFVrZ4uR97De16IaJRkhGdlge6aELPCF8XbUcjYFvWzKH+UHhEYM3Nqtg07hV+F6q6LV95x2OI8U681/quBGC9ANJaTnXeqff4KJ2f2Ga501n8+Z/ntVRmUPzYobZFUhWVmXsgEMirCbRd/TwvCjlwRPO8Iwmpl7tLGGVqOYEm8KPTdC9inIScj2fbZjjuWl402Ig59B4j4tRyHSKRp7SfL8Gyo4jlKXl3avZ3PbsznPRukj4z5up6v1dYa2ei3zNfxvKxnEtmFCkjP1mzEsgriYFt07IxYgrRaLtLHvHHijX/UVll/NH9Z5SGO5+6OinYPO/gLP77+rAsPQ3Rk6j6OvNDyBLAsW8tj1XE+k6cFk7V7urN/dYuZ3ce2xpIdkBHUsSPrsSJqMxHgE2tS8xbTaIGsOhWR81fZ2Rhts/Jd2Z8r0fMxPSKurLxVeyI8B07akbmG9JvOMZBZ0DLO5szuR+SUZmyt9J1MeVa/zXy+msi5y9qErI/IvONFwGcdlDscnGhOmL03d63KeEaFb7HSbOjC608zffPM/7Tdj1lR3nUfnUHKXdp2hiU7ICOWWn56wz0RzameeQ6jY2RFFzTQiPAK0ElYi8B5kec7nSA0rbbzcRy47VFULIsXmbM+H+9Bsxv5bNZx9uwbf/eEUMZxitJkxEeHUEQi7VF+bTcg2hmQeaM8WvpZ5HqG1ivbPnJELAdS6z/WHDz7nHZArjHyWjsJ0fHLS+Rf4tqigEfG8bc+09ZtdOw9kVnxUUlr4QWTPpHlAuTEcoAumVTITzTnqLvNI+GB1Oc5o4h4yO4MZOqKHIbVoBNY5AQhyP7S1W+yTqFcPDPOvbXIrl5Yo7E2tqkmYiLhYM2lVeEfYeW3HOuoHG9HA+m7VfFhCYCM7VZ5iO1IO1pYAT0Pbcw8cZ31gg4t94OKj2+5nUfL8a2Qmfuj+hDxUa0/m3Y1s+KjU8x3tMlObTvD8iNYx4FvKSORIdKLNfkgbZ8Rkx3P1VrUrTotu2T6qB9aZe8WGYqex0jGiZN1aJ9XyTih8rqG56wjn1VABK/XzzRR4YkWzxlH+7/2XLPtHUXpZ0Ai3tU+kq3Xuq4JXS29ZvP5b1mOzCNFtCzDyifr1Mr18lhlZPJ0oI0tdN43yXo8zovj3QIE6X+zVIR7tu88wUGesfFOP/UJbYtymQDxJmIr/W4O3tuJFnwtfcbx6nD0RttmHZ3IebOcKu+e7uizllMzIy61OmbyW+V5TlXGwfP6huboy3pmF6NoHIy2avZ694D2S1meVVc091og88GVyDaq1m8JPqQ8JKimXfccumiseWJEA33eSB+O0nWCOO+ZyPSPr8SL5MGL4+g8nxUgEavaPpo/s2Xt7rN12nj12HhC+6IsP4I1syhlJlnSQyXSYaWZFR/WQvvjSz+CE5XlfYbaP9bt9c+r+uxpSxRNHe8180yy7TyL5lCijpHMp/2u5RvbsEtcjeWcNnj9Td43EqVEPpfizSu3K/I6u/tQyY+KBUS8oYEOpI/K+rzockZMZcaw51CiQmgn0uLtfyHW70eP+EBZIT5WBbii4AixyfpMM7zNF77sW7BOEFHhRUPJOjyHvypCZmyZwZv40QhPJQItI8wrJyTNufHSVVhptyw/YyfiGFp9OUrv2V2NSHtCLnL80DbKROOjvn1eyzgjUV70+UZp0bKiPnJi2ZmtxwpYRPVLItGPiB5t/bRs1NLJe0Nt7yKz5qtpEa9GCA20r6NrBzofy7mjGnxYQSXQt7uvttJGa33pKnv3ts1y2bdgzURVsgshqRNFBaOdgk4iRy4bXdKi0meernvQIs0rIldWBH8EXczumtiivoTOGdK5ihZN6Zyh0ebz31FwJGpPT1Bozq/3XOUz9tJGYllLnxFn8nerfC29V1aVSh3as0bFkDXGtTLQPuLNJ1VB5wVHVszjWeD5aNzZ+CtZibLLgcyXK9oHFZx3kA1q7O6bXWFjNmCA8IS2rfDHFZVoE162Mc884+S7w2T5VqxndmW7e87Z+Ltmz9hHvHRjeqtfapPumU5zruTv3eLDsmP8OeuVn0muntgiISv/bQlOTxSMeZEIXtQ+UX70uqzHckpl3/Lyaf3Wuh9rYUScisq4H8u38qJCTSu3g6h+JKARjS2vD1tznFaOrFN75pn2jITHHQ5POB/9Z/jJ8m34MUCDHp2Mz9Sas6K+dhVynXmSL7ZirfPWoZM7fKencNnX8B5H3+DRJs67B+aTyUR9VjjVyKC0orzWwikjxJ4IsSYNLwIqnQLLmbiiX2r3a6WTnHZfOX4sO7Q298SELM+LFmvOd+aes+0Tla/ZqF23HCIrj3RKtbGijWHPXmR8oo5bNP6QsY3ahBAFJcZ6rd+RNpe/j+lkOeh4Hq8jwRXv/tB8t62zxYPiP/7Oz21Rm8N1J+eYJzqnmqDe0RdbZVemr1R9p13btINLBcgKVjjExEZGXKuTJrK4RRFsZGGNItioaPDEiCz/qglDc9YjR1YyPsddxk70/LrGuhQ9FpYg8vDSefZb0XJpSyQs5H0hfUQT1Z4tnu0I3v1Z/0bHH3I94zxY4z8S/FH/tfp6RtREc5qHZo8mjsayO+cJ2Ue//1U/TqXa9jVt4k/QNeAk42Ci5e00T0uiuXFXu2epCNzjiOf6M81b2+04XiBATihEaiARQM/p64gWjc5FtGhHC6RWNkrkLGptsHqBttCczZmJ/87xYkWCtd8j0Rk5aycZIWGVjTpqWn+xnO8xjVWXZ6fluEZjbAZEJGadYi9P5jlY/SHbBlY5Xp/V/m2JB2sca22JtGkkrj2xWW2jFMr7G/C3VB1H29fkWnhtF7VLdk5B8iB27YIV1IqE8yp2bS90XXgzl/wdkCyzHWbXDrcj1ahl5CwidXqTk1V2JtqYtSfKoy3qd/a1ilO3A5aTiD5vT4DI60i/tNIgzzlTLyKetGsyMm2J9MguLW80fr0oHTouZTlWGg3Umas4y0i7WrZ6QkKrw6s/8/lYh/fson6v9UXNYczMwRbw395AWCw8rLK8YEDUjkg9yDwxU8cdRDZeIUie0E4jss89yfYKrxQgZxnHsZfjtSOVCJc3ASOTShQZQerWHMPK4EUm/4yjdSUVp2Cn8RA5/hlB6T03L1+UriI2u50gS3BkF/jRJlmuVR4SSUdAnHxtHGp9HBGskXOfFQao+ESd1qi+TB5N/HQ8sxm+f/0z5VlU3t04jn6HMyMEq/VfledKqvd00nVvu7eTRWbtezJbCZBVHbC7zLdREQDe51GkLlPueD1jL/qsLedFXrPy7ETU13ez24vSj9dRZ9tyxBAbLJGRjU52tXHkXCL5ETGFlIs60h5ZkRyJBK9srb9kAyaZuSr7e1Sedt2y9TIxAfDj68/0bkdVaIR2LPAfRqz14krRtKtzvVMAebc1D2XXZ9vNdgJkdjBH5R/H8zrjajqFgkxrlY/UJcuxyDqJMm+mLpnvaX1p14kN3c2xhFUkGr36vPLGtJYNyPWZaOBY7szzs+4rEjkVATKb3ytvLNPb9fAc97Ecby6ydkM88ez15RnRkJkztXwj1lqb6l9Zz2E4PrVqHlrpN0ikUO4al1flXcUKAThT3tPW6h2f6Sq2egl9HMizg9oq/zg+6wEjWE6JNvF6k7HMr12LFtHMc68u5GP5WiQL4cxXFTB3gThldxBFsaW9lcj9+Lnn0Mo0Mq/lqEY2oFhjUP4788ys9FmnFnHSZT2emEPx2lwbizNtE4kEKTS0Z4QIDUu4eGmzZS9hQngcx/r1t7ttImF7xS6UxQo/aYaVPpv2ebaMXdqJ/JetBMhV7DZod8JyrKM8mbIzeZB6LScNtaMzKvuEfrVrREhz6rzo+dhXrb6VfbaRM4i2WcYRteqxnpO2kxEJIKsMRKQhDvksWjTZe66a4LDmAc9hjOY7q62tumWflPVV+kVGJGaFl8xjro1Nux0r58ds4KoScJL1zN7LnetFdxBq5b1YASM0/VPQ5o2n3gvCRwqQ4+h3hj8BbSGMop9eGZ3tnnHKZL5sHiv/cTxL3O5op+WYeQLjOPwdjKgsJAKN4tmI5tds8eYqLb3mkCOLuLdT0rHoo2LGss2qBxEjaMBCa3tkXvPq0a7LuULru5Y4stoxsvW8ron98/2N8atxIYJvprpiTsyUL0VnNt9uc7y0B+kDY74n4gVcvPvaWbhoz22XPraKrd4BOQ77mM4uk9eno010medkLaZa+VEZMp+HlTYzeUf1VgTQXVw1tmZBo3Se8yfzWXOMl65qK9rOUUR9tixUQHh1RI4L2lYZpyfrJHm7ExUyuw+ZMjzh7JXjtXvUlz3bSl5AIDwkq+bE2XKzQqRz7uxsE0QceWvYbBvevY502DAzr83Y01nvk9hagCCfr66X6IQLmpHHihRmdkYqDka0wFsOgZfHy9sxqa8Adeh3IlpYLScOjZIhfda6JslGI61yxrLkZ9lyvPK0NGdZmgCZFR/STq+8yv1EznhVjN0FMm+hgvrkx9ef9b/NkRQdsl7LppkyOx3448CCHF0i5G4BYq132fF89zrSZYMsB+0TJ9V23KEN7+AxAiS6trpu8i+ZnYCoDAnqDGacoBmBgkaFo+t39qtKW++E59BXHOqo72QFhFZm5AiMeSJHH7FFaxe5+xFF3dHFc9YRq0T5PRBx2lWXzIfMgZn5x8oT2epd/61dohV/QmRYWONvNhK/Ys1Gx8dIxYZVtmfmHG8uRJ/HDn5T1+7HjA9xHNhcrZV7d/vdxePfAel8gDtHrndDtk+2vayFJ3Ikqg6DLEsu2BUHBq37x1f+vDHRkX0kEnzZ6DCC1Vekw2/llek950yWE9U9/i7r9BbFKNIuy/LGymxEWLPNs8sSjNq8Isd8VIcm3rQyxntGxYc133niw/o31D5AqPHH33/+9x2QRuQ9RkL3bscXccBlf9vBCT+OmhiPxn4UgNvhvlcT3bc2DrOi5RPZToBkB3NWrV9d3hvpnnC1yVzWhYBGY5EoR7TQV6Ib0tm8Cq0Nn9zP0T4hhYp1r4gTaNWPLEJIW6NRcq2OSAzIeuV4q465bJQ+wnKEtHsZf48cdG3sZsRHZKOVHxVzll1aOVrfgtrcEh/fkuUk8eY7z1nbJRgY1S374G7zKBJ0QdbNnQNpHe2eLUOmra6nK8bck9juCNZx+NFo78HOdMQ3OWirWTnRRlEazw7N2fPwnrE2KSPRumjCv6M/VZxptMwr7sMSppYd1oKanVeQfq49/9mIbiRarOibtGPEEl1R37DuI5NPgub1nHxPREo7o75j1RF9Lq+h5c4EWTL8vH/jfY/zr5Bb99xBZgyNdUdj5gpnP1NHxfFcaX+lP6Hz01j+3X7RHeKjq6wdBevVPE6AHEe8+FQe6kpx8zbucD69axmxIfN717RoquUgRXXJ+pCoEwoaZZRU7cje90yZSPnofJERB1bayJHvcuisvu09M8SpjdJHbRU52ch9IgIkcvit56iV441ZS6R49Xp9JgLpK1G+VB2a+Pj2q72rREh2zcz0n53Ex5jnJOPMryIz/uU1tPy7faJZG+4SH+S//HG3AVk8J+QcUOe/0Qkb6TjnJL0iUvVErhponZODfH7fv/w/Qnj2C8+5tewd6zt/xvqscrP3FH1+1hPdQ8aWithBy7XsrbTV2N4zEfsROc+c//fsnX3OVnsgTrNE2q59Hjn/Wv/tmhdRwTymy4hISzQg4zmyz8sv68uWpTmLYaDDER+jbTutaTvYUnUkn+R8ynv8RPFB7udxAuREc+y0n84JDXVo3s5Ogz4budOuac9UComxvmjHweqTmt2zfTRyJC3Hqbr4dDnyskzruaCONioykLHrOaOW02aJkWqbRM609myzDrhnp2V3ph2zyLb1xoxmQ9Uerx2QMq25Y8Ymyz6tXHXsKOLjx9+/91kvQDFDxTmU66vWx3Z3OncSddHYt8bZE+joB9z9uJ/tjmBFD7IyaLw8Mx2Hne5+KhN91L88JyRaYND+IAVItj9b+SxBFrVTVD/SzpUoGpI3SheNb3nNE2Pn9exznC0nU48EEbdZxxrZ5fLGApLfq1t7RmO/19Ih9lR2MGS9np1oeZn0J1H937/+CV82j+qQ9VT6b/e6ODNXVurqcGxPvHFwhe+giXbJ03Y/KD7ew+N2QCoPOoqizkTOdoh0fCJjdMyKnsv/y8ip56wjEV5vhyNCLghe1G9EOkNohLbqSGT6dyZaPEZfIxDBmBEfXr0z43nlXCBtlv37rF/bEajsWkS7QMgOSRYrr9bfR2dURs7Hssb7qYgua5zJ+q38WnmZ+UKOF822nzjiQ9pu2VuNint2zjI+393Fx3FgwZyrHdbZgNku7Obs72bP03j81/BKvLxa2RQRz0NGmDSnRNslQKJB43UtjXTwNKcQxYvmWuLI6q9RH7baTF7XxkZWhHiOjaxDu26lyWI5bNJGrz0RW1diOb6RY5wpUxKVgVzTdl8qdnn9XT6brNCyxhzahsiYtfJmQNrP/Mvmxh8VtOaA7JhfMW6Rep7Czg5qxq5o/n4Ss8/kqX1xR7YTIHewMrqy8wR0BasXKM1p0MSHZ5OHtlB7zuuscLbK85wCNLJrOeBjOdXJ1RM1Xhpp45jXsrHaxlofGe3UHD0tnSzPKnfW3rGesywrEq45jlF7uw7tZBtXHHPNrmx/REWMdf/ycy/vSkdE2/UxbXTe9zj/qKA2v3jPCt3NsT5bseZporaL7nV6x8CmtcZEeaxyPpGV/fsT+RgBUo3oRXQ5um8GjYBmyxuxnN+MePDqiwRCtkyNaEGvlo2KJOvzaDfAa4Pqs7ei2xVCB06py3JOrXIzTm6GzLySqa/LGYnSZMYbKpiifirTW0EKrVxEwKHi1QPZZbLaLhIfx7dfhYeWL2vPmH9GvHrjTtah/W59PoMcC29yLrV+iY57Lw8yzjvbsavMzoAQmedjBMiqiJ9EW9h3jxhcaV9nXYhj7UWoM04DarO1kEUiFVkUpBCKHKauxXqMlKJOQ6YuT8TP4DmHUZ2e8ynTIXagTlmEt9Bn+4/VT2dsnHHkOoJE2r15wQPPqULtGe+z4txFaX4TyNZxq+O/Ox+a+Bhts9aoiGjnpzPqH/Wh7vV6LLPbgd5h/Z+9N++Za9c7BV1X+82Ws8NzfBuPFCDVzo1GNqtI5/D8bGc0x7wTL8KI2mdFnhF7NUez4kSiZPultjBE9mnPTHMMLHFSuV/E+ZB1WmjPtCpCMvmiOpG5Qabt6EuIcPPGqfWctfkoEulo2RYdfWzMrwkJr16vLbS6kMCUNTYtYds99/+s3xEex3H88jW73SIBmcOzQtuaB7S0V7JKiOxAl0iUc5bWRm9qR4qPNTxSgBxHHJW9isi5PY49B561kK4SIRms6OJ4LSs8Z+zJ5vWcpCiih0TdtfSac9QttCLnT9a9OnrpgfRlzQGVYxkRwGM5M4u7Z6/nTGu2aZ97kfps1N5yvtGyovKlncg9W2IhesayLssmKdS0vGOdWWfPS4+Kj1FoRnVn7Ovo3xreXL96nojmiDc50CPeeNDSda0blXbs8knu9hOJzpYCBO34kQhBBlkH2uK+K1dM+NHzQCb+KCq5I4jN0SQcRajRvFdFEC3xYdmAPHd0gdTyoXksmywBGDmnVpmZqLAmdDIO0vi55Rx7IkFrByu9104InkCWjrxVr3zumqDynluXCDs/z9rvlT3aB33D1Vfc563ngwpHT9QheM/rarJ99cwz/v5krLlWS9dZ53E8rx0pXtax3R8irGBGjZxI16q6d+2oXqRvhc1R1L66WO44GWQc7axTbuWtOutXgDjESF5thyFq12p0zXNsZdrZ8qWdMp0mNr37i9pb3pO1S5ApD7lmlRs5slaZaFrEXtQB82ywnpmWZyTjhFvfcIWK1YqTn5m7qmVp5c6ON5TZstG5BhGrd6PNPdq1KG+17uOonRjI1jNr5y7P621suQOSBekcqzvQjh0UEUddDiwarZ3h7omgGrGLnM/sfVkR7h1AHD+PqvMz0waWQ6nViwYcIgcaEVXSFsuZ9yL557WxXq1sz27tHlBREgkcrSyrXO1z716t3Q/rOWSJdgM8kQGNBUd8eI6jtCESnJpt2j1oYjgKqGQCA1cFUmbLnonk372GWVSDWTPicaYdUSg+9uYVOyB3s2Mn1aJ8yKLTFdGoOKKWrVctTBGR3ee/jyO3+4b2n8gxuBMvuu05YkgUMeM4VdrCWnxR58q6Fjl/1vOUZSLtZjnSkWDICJCrhG6mHu++vM+98VO9R+8Ze31DLcv52x5avSjZeR4NdKDjOLJnl/ksgzW/Z+eTO6iu+54gnQliSu4UD0/si0+DAqSBHTuq5cRbjouWJ1ufRuTYec6pLOdOvIk6WpS7BJS30N3dPqcdx+Hvqml9AXFeZDlWmihdVA/yfFGxiAgwDaTfoI6hlj/qy6FzHIia3fCCGl3io2KHGVBYJD5+ll+I2HfMz0jb7jCPzZANvKH9cFW7oAFKpJzjmLcTHadInbP+zNP74hN4xRGsHXhSh9UG+azt1iLlRTV+fOnHj3ZsR3SSy0SbUWQdUaQ9U1Yn3u7HmGa0BS1XYyy/S9hZn4/3lt2xinZK5GdWnRqdIiCqK5uuQnZHAynLK6/LcULwosY/fzf+sODxtdw8l5ndD7TsHef9LNbYtu7vzp2fap3evD4znjLlQkL+Bf3p7VCATNK1g9Bpj8XorJ22djowaIQ6sulJaNHg8V61f89OzlaUCCljFdZ9eotwtR1m8kQRyPF3a4HThLPlXGo2W0LdEpLajpInbqKoNbLLo9WLXEej5dnnmN1x0dJaDo4lUrLlo/w2DoI/LGiJj9VzZVZoZ+3Zad3s5sr+1EHX+jsTZEPKteZHWc5sQOpt/XFXeARrAmtL9Y5IhkSbUKxIrOegdYJOMruDPnckMpNZ5C3HUXNQrTSr2jia+DN9TLNXEzVofVo+eU3LY6Wz6vDSzzrllpjThIsnZiwyQqM7aHFV2Wie48AEWTYIoD4HZ/UdXzi37MiM5+z4t6LMmg1VkV+x6wlYa20mTyZvhYr/UnlWmbHR5YtUhcgb++LOcAekmbsi+XIx9JzOatRvhqtEzlVEEVm5eHs7GF4dyPUo4o6UNQMy2WtReyQSn+03luPo5c8ukFo5Wtt7jrUUCp7zIa/LdvTKmRlrVpmdgsFyYjvoFH1WeVM2e6G/b8fx/YiPtSJzSdVptPJYokizT8sj54I3rAcjXWNwdTDQmses+bkiYLVyrHRIWhRvx4TsA3dAiniDcYdOj0TE5e+rFoOnLzKV6Ka3YxHl9dKhixtazyyVxQOJsmlEUTJt3M30Pau8sW4kOh3tTnhleCAONIo2J6BkxcOM2Ih2e2Q6r89EeVfivWiuiV3UHm8uqY5Pq+2iMtHn9DZmHOqr1srIf6nMLTs/W7S/7mTzJ8AdkAJRRx0jh3d1aCv6PtrHwYZhtZc1UWcmbq+fyMW+6uStdqg6+1Hk9I/XEJHVsQNw1pWJCGs2WONQgj6raIdlBtTxrfQt77lFZSFiwdpt8z7Trq8CER+p8i6w3RqPntPpzV9XiLw7mJ1zowBGl42I/zITJNqNqC3pD90Dd0AKZDrrVZFoxAZt0I02IZEPCbK9+oaB7U24MlKJOoPe4o1EpNEFatWO3OzuwuyOiSUKj6N/sdacAiu6jkQXtXyyPmssZqLi3phH0st8nrDt2tmoXLfyHMdejm/mK3aPI76HjFC3hPAvtiQcz2yUfOcIeQeZeSBb3shsmUj+t6zbFpkxQdZBAZKk0lGRqMhV265WndntViRflPdpeKIAERmZ7V8vCmZFfJ8kBrsEyHH4R2o6Il1V5zsjPK3nbd2Dlc+z/fy96nxqtks7kM89kDxdaSppM3jfbnVyvmh+HP27TVpAIxP0+MXOovjzytplLupCC0R1lNcZxKQA+RV0fSZroABJgEaHslFHyYpIdabcqhgZ8791MK+YsJBoZnQdjUbu9Gyqi2FGxM8u3lUhgIimKGKt1avtoCDCNiOOKiLkLDPrIF+5G1GtrySkkuLjOPTdNmTHARUWyJySESCVOScjnp/EivvqFiDZuX+nteIKMjt0FC498B2QRs7JIjtheNHuGWbKGaPq4/28adGosEocRnWd6SJH4EnPpSoExrzRIjl7XGEsx3pWaNuj6eQ8EO2OaA6eLAsF3U2T8wPqpI/psukzdqDOu1VX1s4zz3EcWEjvf99ypeWXba89i6jdNdFeFWBev0fGhfy3vM9d5q4OMdx9L527H8QHCXKNaeV8Q/JwB8RhZjH3Ip1WWZnILpIPzW+ViS7aVl6CY+1oeIt0tX/u+Hw0mzyxtdJ5yTqw0U7HWKZVl5YGiYB6Nlb7SiYSbkXfM0579y5IacciKVDMNNZfMi+i9QnENm/HQeaz6orqzIA4anfOS9484s03s4I/sqnLwa2UsYswvBqkrT61bbqhABnonEwsxyJyKhBH00Kro2MCQ6P0Y3oOTBzLicw6cl75iKOxGtSxtRb38xrqlMnyUBsz5USOy3nNGveI6BrLsH73bEaEjGa7ZhsydyH2IzZnQBzC2R2XUIQqK6k8ZoWyWpRZ6wIaCMjUa5WrcbVjh9QXiY6TFTbfJT7OfMex/llYQZM7yPTTu219AxQgi0AFiJXGu+YtthVnI3tPUdS2o65PIlr00Qg56tzvJECs/owIDXTHBLVN5qsIf+2z6u4JYgtSdnVOsOakFbsLq/D6lpYWFbO/PSNn5wMRqVZdWWfXWx+QMtAAGCI4tXKtehE7usmKD0+I3G2nl7cj+Ljq/nbzHzJ9QkKfJw8FyAK8hdubyJAdDMtJixydkc7dECSCRnwiR68rInNXpMmrF3FyIzHijbWMjdYORVaIePfl1WmJS2t8Z0TarAjJzi+ZNpsRA157eP1pvJ7lt/KTX61rlVltB8220b7xc09IZgMd6JipCCnL/k5m1qpoHVxBRcR12bVKGHjBtzuDZNGcTXqgAGnAmpjHf2fFh3ZtrK/qFGQdW+teZZnSNoLjOaDW9dn6rn5GnnPlLUCIqPDGW8a2KEIdOVJehHRM59lvfR7ZETmwWZukHV5dkTPrMSsGrDKje86WN5bzS18LxAciACv2RPOwZS9qVyRkrDpkestm7bosFxHWWlqEp4kPywYkeNBRl9eHkPwyfWR/ZZ6aLQPtyxVbiA6/BauBc3IdO6v17zP9+TkaydA+Qx2iqKwKGUeK+GhtNn7W5bjcieW4yH/LNHJsWYKkwymI2hh1pqWdUV4rQi/LkW0Q2YY6aVmBK+tCxVBUd4dQ8Gyr1KE9v582G+Jjdg6M7LSCPpXneKb1hEUk6OXnXn+28kbjV95vxREe83eIjzvnZTRIuaJebS62yPQbrR5ZH+p3VIN2Vr+z5nP6O3NQgDRhiQrNScoKA20wIlHIqPzZSerpTvHTuFLgdUSgorLl2PCcEdnvZxwQCRLxGuu2HF1kQbXSRdHBsd5oB8RzTitkdxQQUSGvdYoPb57Nos2x37/+MV84P/OgbWU5WohdkbOk3QMKYn/kXCJ9XfvMGydaHVegzTc7rH+aQ7xynbDmGGkLstMQ1aPNO8i6VL3/jNCm8OiBAuRCvMVGG2TWIm1FAbzfLaqDtcOxITh3Cg/tWkcE8fxdLlxyLIxR2LNurf/d0UZWhM4THDMRO2vMWc685Sh4ZVgOYibgUQmIoFgC8Lymld/aNxzxIetCRJjsMxboejArHrSyovJQrHtEn09G3EX5M3lOtLaO5qArAkcrRJElapBdgmg+i9J4ghwpv4usuCI5KEAuRg7iymSMRBUz4iAzqDTnkDwHLbI0XjuJIljdC0C0syGdfGsx3JVoXCKCJevwW45BNH94kevZ3QXkPqLyK9c6Itg/vuJ3Pn6mcxxV+RwsYSftjKLC0TPrcFItmyTy8+hes4LREyJdcwI6H1oi7a65qbNeKY6RdkDGoJYeEbuoWM+uT8icmCmPYPAl9IVEA9ZyLKTaRhZsWa6HV2cGK0JC9sUSINUJuxpNjBYbK7LoCfaORQIpP7LRK0vmy0RQLQdUy9sVrdZsQfNGkcvOaK1XvmyXGUdcCpDst12Ntv5SDtivUSfOGt+eDRGe2PDKzjiYGto9eeuNNQ9k1ihESCDru5e/m+41WOtD3u9WGZLMc4vaUBvP0dwYlWGNTfo3/VCALCQ7IViOBuKgnNeQyb5LgGj1k+cg+1eHmEDzyHxRlNZKq4ngGWcrI3DQMYQEBFB7UDFk1ZNNU7mnDiHk2eo94yioc9pUEUArxAf6PNA52xLtWcdRKxfJ4zlwls1jGi/wgIgPr87MPXi2ZmxAx9Msq8WHl+44ajtW6NxSedZW3YhtM8KV5OARrEXMdNpx0pKDI4oWn/8ef48W8w44QJ/HjPjowFtoPHu0dHK8VaPc3WMFqR8RGZojI59dFLyIxJ9nbyV6nGkvz1YkPZJnTIP2C/UPDAZ2neVXRM5YDiKGvXzWc1glPmT9aL2RwIrux7JjLD+iMyB3ljeOS9SOp4HsNkRzs9VPNB8osqNCVViTebgDshGaEu9yoLp3PUY4OPu5qk1n66lGU48jFkCZ6FpExy5NlB7dyUCcLQ2rvTrmDaueynU0TSVv5FjO3vvPcgLh4e1+eM9iZifGe/6eHbPMjHGJtzsSpa3You3+yLKzOxWZ3Y8Z21FWlFstM5qf0DyVNLP5OnbeSA4KkE3wOrq2fWkxRj+18uX/u20nPVzZpjN1VSZ4LQLmXUPLjCL8XWLCyudFeCWo49nlUM8in5E1X8041VV7ZspRyy6Kjyj4s+JZas/i/LyDrrkBdUJPOsSHlycrfLR8WZGyk1BYXe6qYGfFDkSAjp/Rn7mOP+42gPwXxNGyFjct/5l+zLODI0P240onN5rkxz6b3fn4/vXPzx+rTus+z2tafgQvzzhGtUCCrNNKZ5VlzQGefZn7lP3Dcq60tJFdY1lVe8b6Z7HEx4+//zyOb/7Oh+w/lgOK3KdVjsx/3ne38BjtrZJx6KrjzsObY6y6UDvPPujNKatZKT5mkfPUne10HPa64vlUZD18B2RjMtFdb3BrizUH2b486fmMi0t2m1srqwNtrCA7ile1uRUR1+r3nP8ouucFHzzB4Nmj2WGJJavusfzRMUAdlBlHxr3f4Ct2NWEVOf5aGmRHzOqjY/rx2i47ZRLN+bTayhO52TkxEhkdjmcUWX8qq3bqjuOedvICJqctO46dT4BHsDZldFCsLWxtEEXOwJl2ha2kh7vac/a4ReSwnngRKLR+ayFDFri7jwdY9WuixCJKZ5WpOXWRAPGenTU3yXyeTdr9ZJyCigPxm0NkiA9LJFbqy+SJgk7RWjDLyjko2kGTn8nPq3Vo17sdYs/mzjZdvUbMtkt1PVhBJDajeYysgwJkY7IOiZYfSTfLm6I/O3DnRDgrQo4jd367U/Q8pR96jrlH1fmV+aUtVQceDXIgziVy7zMOvJtWO3b1zd+5OQ67/2n1V54dsvPd5bBfjbVz0+G0Z5xfrc4uvABhR9lXOO6VOiq7VcexzjeJ+hQybskaeARrY2YmLXQ3pIM7t1fJPlhOn9X/zs+rfVyr7wl9T7NbOmTa2EXaqbKTIMdtdUdkLG8sM7PzEdmI5oPEnBF6+/H3n8fxFdviRVG95yt/j8aHrEsrR7u2M+d9r9iByETeo7afscvb6Z3BmjefGsG3BH0nXtlj/fRhroU7IA/AGzxWlC1yzlYNNA7gee5eSDp3JZDPKjsns3bugOeUWmkjojlAS+eVZTm4WXtOMuVVdmbQ8tyXzYGyMzscv9QbRF6toBPqWD9tPHSP747dj1XzSke5XvT+OK4TcrvkQ8q16NhtI3NwB+QBIMcdKpGwFYPtimgG2Zvss7ec1DsXiCvqGsdtZcfSi7Rr5chIXxQRHOvIRHMRZ1yLOkqqUeMwqp0UH9q9SxHi7dBE4uD8XP7fssHjCULEEl4yTbf4kFwpPlaxm1Caybei7z7pWX4iFCAPwZqoRyzng4OQHMe1TnVUl7bgZI7mdB5piOpY3WayrbxdA8/pHfMi4z8TPY12UsZ03jwkHXhkh8Sqt7Q7EnzTlVV2NtKM2IaOlYiKeL1LqCCi9Iq6o76+KjjXvbvczZ0CDNkJXs3TBOjToQB5EFGUION8rIo4kHlWLsjSWVm50CKR8ihKjO6OrMI6atNdPrrLEIk0r31QEZG97pUfHTmSaWTfzIjSCER8jHZ6/djb8RjHrzXerD41OybRsSfrvRurzVAyeRBBnj1RQMe1j4wf013vFYEt8i8UIA8DjXQhA1ZbrDoGOifjebpFSCZK2lG3rEvrY+gRFWlXluy9XL2TqN1X9l69Z2ZF75EdJs2JrpSj1e/tfEX3ke0HkfjIiDnNXqu9NFCxiV730mj17DI3a8GGVeLjqh1TdA5bKbCq7LZu79x3SQ98Cf2hRJHOykDtGuS7TWS7gR7nWNmOMsKsOVnd4idzjEWrP9M/q8IhapeVeI5+VozIMmRZnrCIykaj65kgiSeStB2CzO4auvMxw6y494Ra127QnXMyMh4r88SYD6l/RqggOydI+ow9Z9ornt0T1u2V8/IT7v9tcAfkoXgLEAfRvsgJ9Iye3uXojv3IigB7ZOzOOLtWuciiXrFtzCMj7VePp8gZHX/X8qycF5CdGilyrPTWbopnJ3oPV4oPWWeUxuvbcidl/LfWdpEQ2W0tQHfmR2aDbR3iw8szIwZ3iew/xfnerd3IHNwBeTDdk0ZHeU+ZyK7CciisdOP1qyZZ7whM9jiJLDM6UlPZnfDuoaP/alzVpzO7Y/K6l9dzWJEdE+1zK49HJEqsejSicjrFR7QbMdrjtZm1E4DuVlk7dDvPu9qOm5UmKuc4cvec2Qn1diCRsr1xEuEFFq6Y/3ftOxGd8/5T2+DJUIA8mM5BM1sWIxI+2SjcVSIEcaSqEUbUcc0s0jMODFrHiCccO3ZcPBuqEdvMUZHICR7TefVlHO5IKEViPbL1OGzxUYlWn3bIPoaWY41lpL0j8bGqD3aCPMtKIAIJjpxkxxLaB7U+XpnbpB3o3DvL0x3vzqDpzHMjNXgEi7SIDw5YH7R9zonQcnYquxFeeiR/VK7nWMqoouZ0ZRxCxKGdAYnUrsbqA7N2ZHYTNHuyeZEFHXG0s3g7H9UyEfGlRebPa95Y88ZENA+sGANdrLIp2zeyOx9j20bzlfZcKzZKW3d8nm9EPu/xc/kZ6YcChFwWbSEYkQgZ0aJvyHOMoj5apDUq14vOIgtz9miFtXhkQR39yCnoXLRQByZq81lbogiv/NzaJYryaI5fZV6q/p0Py7bfynJEVdTHI2Hp7Q6iYm4nMvNQBk28WfNktmyZPhLO1mczY8+aN7t5+pq/0v4nt8uT4BGsh9M5CKtlPX0iewreYpQ5ihE53NbxA6R+zTHICo5Mf+rqe4jY6oy6ZuxCHV3LKRrzWLbNRFw9EeSl1ewc7fGcTM3mFS+cZyLZlqCPdjGsz6Nx84kgY7MSiMnaMJIRiVV70DFg4Y2vp5JZ86z8T2+Dp8MdEDIFB/F1RBFUmW78/QTNO9Z1fh45hN41K0JpRchRJzWyBwXZfcmIqy6kM4Xeq+fEVoRUFO0d01o2W3V7ThXsYCni4/h2HMcXlN0k01aeCEcZ267TsX07Y1uhz6xDfGifrXhG3jhEWD1PXY0m6jPjjX7LHnAH5OF074AcR24C5UC+Hi8CF0aJg52RqDwrLWIzUlYkbiwx1REtRnZ/snSPzbFM79mucDikOPWuRc9F5j2JdnRkemv1Ol8412ywdmyQf0sbkOdiYUWlvfb75Lk2WmusvhPt9mbqH7F2ILt3P1bxZGE7uzZ1BK3IPBQgL6BbhHQ4lWQt6MJnOYxnvjGNVi5ix0wUDtlFsI6vZBwSWY6WFnUgUUcfcYIyWAIRFZ4ZxxhxuL3raH1IW5r9V9v1OI7wL5x7dmR3aLKiA63TS/+pZAWI9rkFOtfJ9N4YzOIFQFbzJIccaetscOYJ9/1GKEBewKcJEAofe7fDcpaizzXHHm1n1NFHotsW2oJvpRnrQncLZqKklfuokImMo8JoNajARIXNz88N8XF8+/XXWeezMtesECic73q/chcR7FH+7nX3rPfOXa/d+1rHeETXELIeCpCH0x25QLc2dxAfT4radCPbX2sLr320SXjG4bGOrsjrI1VHGI22W/eNpDvTVsUH4lRnyTgpSN0zIuQqEaPeq/OyuffMUdEp83bOL9k+sXqe3d3hPI5e8YGUN5Zp7QzPzFtRPV6dVzyrXdfV2ftHd3V3u+83QwHyEroGERINvnPR8iboT8JbuOTvGVF5UhEg3i6LF73PUhWg3q4PmidTrmbzDNoYrzjS6K4A+py6nitUF/g1u7+lccaHx4q5bheHZ4f5PKJbfKDlauVbZOefqAxrLr36Ge0mRFbsOB3HPvf3iVCAvJQuJ0+Wudvux8gnTSTRkSLtM2tRm52Mo4XKKt/bCreYWZittNH9I46DF63sGC+rdlO08tCdJXSnK6oHJfs1ux1tvmpOmXHuZue+mR2hq0HG7HHU2zErQjrHtFXOTKChm136xSo7drm/T4UChKjMOIUr0By6T5w8LMclcvKtf1d2BTybvB2VisPq7apo92jZppUV3YtXlmaj5ahoabMgbTlTpof1LDt3VLz+chzxsatugXYc9woQNFo+pp/d0dltPl0pPqI6vLpWi48ddj92qPus/zjWnOhArpO1UIAQGMvxX7WdGUWePmnyyEzElrjwrlUj+OkottN/ooi7hSfKqn3FE3TaZ1EUUysrawdiy0zZWh1nOk1cIruRlV2u38pa8AcGfyl/wqGvkhHeHeICLWeXOTUz56wSIFY9KwWIV+/V3N0XOubsu++B+PAPERIIz5HodIq0smWdlvPzxomm0p5elG689uPrT9WpPD9Dd1s8MaPdj8wz7aAGi00lqjiWOaaV7aaVt0J8dPftSPR5tqCOrPZvrT6t7/28FoiPSt+Rz0kTxKt3PjR7Zuv2gg7ys6iMXR1PSwSvsGGka9dxLB+ZfwjOSj+ErIE7IATC2v2I0nvXT6IjAV7EXPu9yt0L74jmIFYdWGS3Cj1qgDh7nlOI7FJ03a/Xx7J1RFFJNKLtpbPSIOOo0m8RJyuzI4X2DThto/jICJ87dj5mdy6sPJUo8t1zYCRAOsUHEmSR12d3KHZo44i7bZytnwLkGVCAEIhK5MmLfCJbpN5iE4mSLHdPuKcNI12RUdmOnqMfib5Z0OdopY9AHOZup328lhERiBiJbJlxxiKxEQlJZGdD2onw/esfdVXKHLtC67tq52MsPyswr5rTdpkDrxIfsuzj8PuxlzYTyLi7jSPutpHi43OgACEwmoOVjSBHDqiWxwMRMohtd09WUXt616PorbW4ejsFqOOJknGyZp/lWZ8nUrWdl0o9CJn+HTlf1mcVZ1PW59njOWgIVj71WYDvfEQiyBLbkVCaxRL4URtm5sasLV3pVnKX+JB1dwRbMuN4N+504Gd2+2bKIPfAd0AIzDios45INcoXTSRvmmws8eDt9ES/y2vRrlHkmEZRe+u65UBr1y2hFIE41d6OmleXzGPVoX2O7ibNiq5M2qius51k2RkhIgXAb075f47j+Os4vh//HMdf/8tz6OID2XGRtnmibVZQRVhjBq2va15DovQ7zKE72HDaMeLNWWMary+On+1wjxHe+NmR6npB7oc7IKRMV6TEmuiQCXA2MrbDJGuJCA/UkUGiqlr9HY5ZpgzvGSL9LFrwtX4yuwOBpolEW4TnFEUOk1UOameXg/6LI6zscFhI8YEIkfHaz3KcecLasaiQHbvW7sjqKL/87M6o92iHde1klX0dc260A3f3OlPhartn6ru7D5M8FCBkiplBj0SbVgqQXRYFL0LuLWKIw5tx6DUnr+KAepFvJK9FZufCaquqXd1kd3XGfNFuUnRNS1ttDy2PVU5GeByHvvNRwbLxZz2GKM3MKxkbo2dYFbpIHk2Uz5Y9Cyo+jmOtc1kRIdG8Pf57h7WmwlNEyJPb+FOhACHTdE0Ys+Vk8u8SLUF2PzJOeea+POc2cpAyUWetPs9xzexCRGJqRzJ9Du0P0f1aDpEnHjLiIsITH9H7HdbYQGyxyrH+rdWHjqVZoR3VV52zsnPElXNjNGdfsfuh1en1CWSeOnm6+DiOZwiQp7fxp8J3QMg2XH0UYIcFFrEjcry6ooRnOZG48Jwsz2GwxMj4WRShR+rNgESAEYcNiahnQZ9rJAzHfGMaazfo/Ld131kRYoqPb77jnm1DLb2VV36eFb7a9UwEXWvb7h057/lFNp75u+fI6vy+eudD9p1oDvTsGct6g2N89bqM8oa2/XQoQEgLs5PBmN+LGkULtOdAommvjLRpWBO+5ZBmHCDPqUV2KDwbU06p4eTIe0GcSWmbTO+1YcZmtH01W6RTsoKMfZoIyZSjoe6yaOLjm26LV65lF3rNmlOQfoMK7rHMSPhYc4xmZ8X565jH0J2fbD7Uoc3uKs0QzcXVnZi3OMirn0Ol7F2FEcGhACHTRBGzyiSBRHO1OuS/vXwyQtU9waKOixRf5/81JzxyzqNdBqT9tDqt+qzf0WcdRdejZ+MtjN2RXK/tNBu6o9xd+SyHXNsNGfNrz8YaP5H40GzzAg8jiFNoiUBPXGjjUF7z7te6J/kZgnwOV4uPmXosmzN2RTsRXSABrZOrxNCuoOMzizW/ZOwiz4TvgJAWoonJWritiN+Vk0o1ulUt2/ss2r3JTNJZ5wCpx9sZmW1Hz4bovj1x4DmOXn0yv1ePdy+Z3RlrkUd3CbTyo3ZbsRNh/S0PRAAjz1K7By0/MrdkI+1W35D2WMEApD9Vx9LKuTMbZPDGUmbeW30/s3OqVfYbHeOKIM6Wh7bdW9v4k+AOCLmFrqhwpy1jVLVrYtPKPj+PFnQrGh05aBZelF6zFdmF0qL/2UiZtQhZUWWUmQXqzCsj4qijHKWxrnniaLTLcp4sx9d6ljJ9ZSxK26y/Yo62RWYHARF3kaj8xXanLq0+bUyP0fvMM0bq81gtPrJla+0fBS/ucCitgFh1TYqeP/kV2UbyGVhjiG37fLgDQqZBJoNM9OzuyaVzMZSLr+cUjelG0IhpNmqk1fmbM6nYqt2fZTtCdmcCiehb/55xsEe8iLuXb0xj5bPqjiL/yDX0/j1n3RNDlvjQ7icCvV+r/1r2yjq0+8sIEk30IXlH2ySZOciaY7roLDMbJEHmvg6bECpR+TuF1QrQ4ApaVrSezeyQkP2hACFTzG6XIo7DXWSirlZ+y3kbr8v6ELFiOVKIPZp92UgkEtXM2CbLnSXjRGbLGrHaAXEsM0JqzIvkR8qcbevf+kxw7Co7thHnHREaXr1WpNUbG1rdnl2e/RZoW2VEVYVu8RHZYglM7doKoWWRnfOtsu9e0zrouBdEiGYDO+R5UICQKWYFyHntxHOydyG7kFoOrBXt0/7v5YtsGfNZOxxuVNspyypHqzOyC4luR1Fx1DGsChPPubDSRG0ky7EW3vNaJmKLOsLTYsR44dxzJMb6LTJ2yXEzlm3NMTLf+bn3mazPuh+vP6MCfyxPS1O5hnKn+MgGU2apzqmyjEzg5ulUn0ElWDZbJ9kTChAyxcxkoqXxHO+dyEbjvEiqTGNFY2XdiFCw7EaFiGWv5eBVBYgks0Mgf48ceM+ujHOv5cmIiwhtTFSIdgqQnQZp0y+/Gzsfsm7E0f+lDEd4Rvfo1e31mw7BbKXJzGuIqLXq3g3U1ruj3DNrTjbvk4QIMj5ny0LS7e4TkDx8CZ3cijWJ7SxCPEfXi9pEE7bnZIxtYUVwrXK8OqoiZszniQ8EzZmL8lrpI0dUtqlmi1aXbHPLwbTyIfeg2WKJkOg+vc+0NvDKVoMD/xMd3w/72JUsT6vXcubRvugJgbHsSMxW8ITu+Znse5mxel7Xnp/WJ54iSqI55y6bZ+rNzqNR4GYXvCBBFMyR5Yx5qnaQd8EdEDJFJmLoXZuJoI9ptTK6yUSEZqJ62QiwZ4dV9pjfigzL3z3HuEq0c9BJxV5tsUWebVaEaf/3yvHuZfY+tc++f/3jrhjjC+dq3iPun1a7IiJM+9xy+uU4rkZnZ55TlM8qS8sT1XEHmWDN7s44ysqdgavxBIiWLnvNK+84ciKHPI8/7jaAPJsZ51NzXqMIdVQWEvGcIYqkahHP81rWLlne+dl4bTaCqDmFlgNnOT6e0zXaqP1ucbbVHYuO1q5WBF8i02n3Ln/OfFURY/WDClof/eVZBOLDajcteur1G1mGvO7l94Sh7MNoX0ax+rbXBlmHFWkPKwhyB5X56MlcsQ7thnW/VfFRCQyQ58EdEDJNNjpiObfWxIOUP5YnP++cvCrbzTO7ILJerX5kkbMcomiXQ96HfF4yrVdf5hoa3Z0BiUpXHDnPGfSQ7Ym0q7RLey7IrkGEKT6Mv2xu2Y6MaasPIn3f6rfa77/dX4JoPHb3V68fevd1Xr/DifP6ntWP3+hoPvm+qrs5Jx3io1IOeQYUIKRE5BjItJpTpy3inphAoiKe8zEbjUGFkOUkzYqPmWuebd6zse6hIkIsG7uZcf4QJ8nLq6XJCBDNSe+IbGfaRK0T/OOCiGjzxqLW9qh4zaQZ01XnBauuTvGBBl7GtFcGZDK2RfU/2VG3ePo9zfQZZM3R8mSCV+TZUICQFFZ0tbJQyvJknkiASCqOtFV+lD6TRnPWM0S2aWVWJvLIufaEYuR4rRAjs46eJ5rQaLv8HBHJKCvEWQXv73t4uwtenxnz/Cxzsj8j84xW9ng9IxZlXdYYiNrBI2sPIqqucIoRYajleZuDucs9za49M/eBilFrjO/QfmQN/BYsAhMtaiMyneeE/PjCzvvLNJWJyXJarUiz5+QikRktTWYx8NrFE2RankhERaJNK298dt4uyYooFiJ6PAdZSz+WK+uy6h/zyXRVQdYhPqw+nXKAna/Y1Zxqrd+M7TTWLYMZGbR2RkSARzZIoDlPFfGBzDHovIu240rHrnovb2OXAALS/7Q8Mk21z1hzqSU+onmdvAcKEAKhOZnWLkg0cVhCAnH0Z2wf69Mm02zEFL1fr54uOsq0HErNcUQE2liO9pm3qKFOpOcEe4ttJBYqjlxm92NWmGrIcqy2qgiRn2X8befxRK93v14fSdkmBA9qo/YMvWeBlC/vLRIeXoDGw3MerbLvEgCfIjxG7r5nJGhn9QsvINNpmyc+7m4/shYKEJIC3RGQec7r2Yg1Uq+FF9WPJjnLUdWcZivSbJWd4aoJ2GsPbwHSIs+oo5t1QBHnbGXkzLof2T7Igm218djfNIEfiT1EGGr92bTxr+GDb8dxfOHReG+MVEDye+2eGUsZUSvLRuZB7f8yzQohunI+YcT6X1buMHWjrc8rd8essYKIJfIuKEBIiBVRG6+jE1d2t8DLjzgDUV2jwxyVpUXNrXQZO+5COiZI5Elrq+wOiGTWOZU2e2LAcu7HfJ7DpuUZ+xC6eCPtiETRRzvH/okGCdx2F28HWjsMltBHxoH27K12QQIZs/OLlT5y4tG5yOofVacvyifbyRO03fNVJNrIWjJ9SvYHLe8KcYKsu+S9UICQ39Ach46o2lW7AZbD4pWJRq0z0e27hUj0jKzdHC+vbK/soqQ5jhWRgjo30f1E+bVnKMWHZp9Wdka4ZfEiixKtLX+zVXn3w6vX2xXyBF4klKSorD5HtD5ZrgTpd9aY8MTHDN640PqnJVJnnEuvr3+aM7nD7kdWfJxUxlSXTXe3GbkefgsWMYkW2TONF3HusgOpw5tI0ai0zBuVjXD3goQsMNXoq5bXi1CPRM5cRnR4OzaZ+mReK091oV6xwHvPLm2bsRpEf+G8svMQiiDhyHt1WQJxzGfVPUt1l0O7/0xAxCpD2uaJ6Chdho78dELnmdlNO454HuQzIl1wB4S4dO0KdIM4IR3Rea/ubLl3Tdzj4jHa0XFEAnH8Pbx01o5C9jmdeZD6ZOQWiZjLOpDrUfnoNUR8oO21SnxIW8bfpX3jWPHGjOcQnXm9ZxcJkqj9LdCdqMyOlYdsr/Ezaa+XztuxuhMkCEZ62PH5k3dDAUIgImfjvH6Vs404ENK2Cl409WkTdeSYZYgcg6xAOPOdn2ecf+RYS1YQaWVGzrNl0+jkyWtWflSYoH0weibWkatIfKB1Wn3PagvNQUd2Grworva5dQ3pYxqaGJK2akKgYw7R2ljWJe9VBidkWdo9XcHT5tZd6Fh7OwJThCDwCBZxyTjcWmStYwFBIpYnGcfDqssrz6obPS6x44JajcZG95Ipp3MXBhEIHWT7uRaVPj/P7nh0CMCfwQLnb338llaZC6K6rLzWtagOTwRZ9chyonG9ag7z5o6q6EEFMFq21U9RO2aDPTNlfDIr1pfqWkcIAndACIwWSTs/l9e7dgmyW/DSaaksoFbZXvm7iosT9DlYC07l/qo7IZm8Vn7k2gzWURavjSynEHkmmd0XtD098aFF6y0hYF3Xrmk7Htb9e3MIIj60f1vtKK91R+Cte9V2HqR92Xpk+bL+aLxE7dApFOjg9rBKfPBZkJVQgBAXbeH0Iuba0YJZJ7ASCcxMntnosvXvFccGustEnHX5zGZ3Jyo7EpU8lb4WPXPEybei9qitszZ7jr9m78802rGr//2tj4zj6t2HNzeogkhpN080yHSZ9pc2aoKqStRWmh2rqNahCZHxmiZQkLbrFFxkHRQfZDU8gkVCLMHhRSBlupkFHV2cEBu1cqP7yGJFrCN7PBuR/J7d0W6N5RheIXwsLMdaKy9ybtE6tHJmhI1HpsxIZGR2SI5DFx/eXzmX9f7MY+wCoSJeloGA9M+KKLTmK2Qe6xYWMwGUqExEIFjPqAuv/Cc5vnfa/dQ2I+SEAoRAREcezt+PQz8qMStAKnkjZwFxXqrM7lx44mj8HGlf1EldvYhFTql1HCNyfqz7R+ur7tIgRM8kk9+zMSW6nGNX6E6TZpNMgwrxGWfb6jNaWhRE6Fn2dLBKkI2gYgWpL9p9QwI8T3emO9aMJ9WLcNW6Qp4LBQiBQAWIF5W9wsH1HJtqJPQkG9mdJbOjodmSjbBfQeQwIs6tBSJAUIdefmb1BXRnIrIrwhpX2R2b2Z2P2fuyRDACWneX6LfKzNaVDQ5kAzbRDo21S1W1eSzTwxszXnlPc1jvFAG7CpBd7SJ7wXdACERmUeyMIM8QReKifHLh7nYqLcayojq/f/2jOi/ZSPZVIE6sZ1dml8PC26kbr2vPQf6u1W+JlpHMboN8ntG/M+LjfOcDtckbCxnHcqwrE6Cw0lR3VKSd2v1o4ynrnFv3KNuhY0xGwrsDL/gxXp8JKBAfOvnk6VCAkBKaw+Y5B+civnLC1CLAM/VZzshqskJJW+yzuzdXYkWYszYiEerxuiciM873LJly5DizdlzO62adlvgwbNLq0aL1SHR/zKNds8rXriGR+cyYR+YJa4fOKy9TX3bHw7JP/vusz5sXZrH6nnY/b3SW7xIBnfV2l3Uc73zWpB8ewSIw2vGAyAGZOVpQse9ktg7vqEAlcj+bPirrRIsEu45pwYbuRabLqa+UFe2CzNjTLQAt8REKp+DYFRLNtgIOiBiynOJMv0Si+lE0XlLpxx0iRNaplXmHY5vZ5ZH5vD6ElNM5d1/FFc+oa73xyj+Onja/Yo0n74I7IAQiM6kgx0U62SXqgjpAKyboyAHobvuuXaYxfzV6XcmrldG146XtxM20v9y9kTZ6z9cTH1a5v6VXoujn56iN0WdenVGfRgSBtzuLoIkub6dmhjt3KrO7S57g0Pr+3XN0F3c62d11d5ZF8UEyUIAQmHNysaIcaASty3HdRXhoNngR44qQ8+qMjmB0ojkVdzwHrU408pxpE8vhRMTmStGHlB9929Xsjs+Y1+rvFkh9SBujz1PalB2HlgCrPm+Z9k7RUSUSZdqz2WnOfiLdO+erynqj6CT98AgWgclEJS2q0W5px1jWCma3vq0JuTvadBKJPYuO4yReWZkoNZJOS5s9lpR5Llln2qp79kiW5uS592i886H1mVm7IlvGdCdyh0hLn5lLsrZWxYd2vWLLmCcqEwV1+rx7Qq9ZNmZ3h7RxsTtXRfm1NWRH8SHLywYjyOfCHRACM0bwtQVXm4S8yMhM1O9JE1p1BwTBc9Q0J8+KonfunGh5EcekIj4kqAAYP7ds1naYNHvGsr1n4f3u2TLagYgt89jV1695kH5pjWGZNnIktbq8Pobuasw46V3ly3lR2xmQ6ZEys1jPSLa3VzaSzrtuOZ7WM99h56dTkHYxzie7r3WejdmABvksuANCQqJosrUzssLhPutYPSl7jnl2B8QSADP3gDiFaPTWA3F6K9FfrR7Prih6jUTLkWenOY/I7hLieFax7ldz5tG/8xE9M09QWH0tshepx6MiLjPPM4v2DKKgS3buqNgkqc7DlTnFsgfpE3c42juKD63e4+jvtx3lHEc8NxBiwR2QDyXjICEOmBbxWsGVE5wX4Zspp3MhOcuzhEJkl+cYRnk7ifrLVbtlWgQX6dvWWPB2n1B7EAf3+9c/aigJ/SODv+Uz6pI2Wfae/z7L8urJ2KTVFe06jXauEh+jPRZXBU3QzytlZ+8B3W056/hk5xUZU6vqqJbD3Q0yA3dAyBSeo9IduRnrW80ui6G305A5IuGJE+saKmjuWISyUfYsUZRfll8RFl6ZY5oo3XHYOx/IDpZWb/TsrR0+q6wdnJUr543srodWRia9RpcdK+bxsQ7JVZH+3XY/vN3dTtHQAXc/SAcUIGQa1AHprO+uaOLIzDGLWXsihzAbjb3KOcw41Wg5FlXHKSPwMkeCMmTb6TcB8g3vw5ajmblP2fe0f9/FVU5RhzNd6bPeeNeeRcWWFXOutzs4WxfFB15HtRxrrBOCQgFCWrhiB2RlJM6qLxP5RY9BdTkZWRGh2Z1xEDuj2F67ajZWnbvZaHLkxGSYaT/PqdfEh7RvZifE62eegJEgIqZbqFztFFltk8nfsWOijaeZtlgpQCLbq2U/RYB47aB9Xq2D4oPsBgUIaSE6BrB6QVkBsrBHn3vlZpxdrQyZJ+O8ac8FPcoxi7ZTU9mRWbELkhE6iPOOEu1emX3O+LpdxMaMXVrdaFqZzxNDs7tKq3Zcs1Sd/6rtmgjs3MFY2aZdQZoxb6f4qFKpY4VTv1J8dJZPPg8KENKKtUPwRAFy1jviOeyzTkbFWZ494lJx/DNlo1F3b/cDtctzlrO7JZ4Y08rsiO57olAVwoH4kPmzDnwmMrty52gsz7Jt1fyAjkl09wcRdNX78NpgtyAQ0q6zYsy71jVfyrKzZXjzyE47H2dZx6Ef0SSkAr8FiyylI3p+d4Rl1snX0CbvzMQ+2uKJPssxPD+XdXXudmjloI6q9nn1iAISAc4452heKwIdpZe2qm1hvXR+xO3m4QlGpJwzvedIeQ5X1Dbnv2XaO8UHYoMnlGadYqT+ncg46plnjIrtSuAIWYOigIR1rXNdkeV276JUg26EaHAHhLQiHa2OCOXdAiRyHrNHHDIR+bEOrf5slD3K1ylAUDtGVkZxPYeyYzdJQ9tRQPKMdv32efB1u1aEdWbnwcqfvb9ox80rx4scd5MRH1lbPGHafU9dIq0z2l0pa2ZMzvabq/oaQvcag8LdD7IC7oAQksATGzOLvVZmdBRHRpqzi7TmmF4lRKL262Z0krVjD9aOQ9a5lunl/2V67Zq3C4D8ocHMLo20ZUwrhanmMGefmbbjdn5eFWndZAMEWVusAE0nlsPYUW6HkMnSEZS4O5Blge7syH8jeTug+CCr4A4IaWd0Jt62A3L+fhx4pNlztjWnNToqhBzhiHZsvPIttDpmo+qy3s4jA16d1WMYKNHOAOp4q+95jBhft+uJKOS5ee2FtiXSV1AH+arxf9VcI+fI7h2GaL6qljlbVpQ/u/OUSVux+e61J7LB2kHsnEczu9SEZOAOCCEBclKPnCZkctaEWUeEyXM8kIXDuzcrUp+Jsnr1zy5qXrt5kffz/1VhJtF2QKSzqQnW3wReID7Odz4QYTizUybvLUK7H3dX5+v3e7ia1VFdq/zV4mOsp6Ns+e9MuZnni47HTxYfx5GfxwjZCe6AkHa0nY8nLwInUSSqOyqIfm5Fp2e266u7KZ2R9QqZIzzW7oMlYNBdi1nCXY/jUN/5sKKhbl1An0OEnVU2Un/Uf1eP/yuPlGTHerbsqO/OlI2AROpRod+1SzIzL++y9qB0zqfc/SCr+eNuA8i78HYF7oxw7owVAY4iX3KxsdKPDur5g9gU2XCWiZSl2dctPjLleJF5L1qfFR+oPT/b2xAfP/7+85cfy66zLKR/WM6FJ2Iz94I4itpOzYp+EXFlPeMu2HH07E6tFB8jyByj2WDlz8xJZ3pvrtPSVniioy3bJtu2WlnRZ4TMwCNYpAXrGMmb8HZyOibm7E6R19bmsZ7k88k4kahjsJpM5F8KCm834aTSfq4tf/1zHH8d6lfoHsfx333qL7wuVFTJXR0vDyqGRxEUHb/yuGoOuWuu8nYvK7shV4kPa16JdnaizzSu3Jl6G9rRrPHzLBQfZAXcASEt7OJ8Ph0ZHbV2RmTUe6TLeZbRtHEnQ9vVqDrmK/qNZp/VRxG7q5FEadNv9jnHrX78/af5kjlSV1Yoy76H5JF0OPSzOzAz9XUzRqG1e9F2Gj1ReDfW7tr4/+Owd7K8e4p2Hq9ygnds9wgvMJYdTxQb5Cq4A0LasI4SdB8ruJPsLkW1juPIv09x5hltnN2ZQu5Vbvlbtp1pPPtXIBdgzdmzrku0nRKvbd22cd6+k8esZtBsQNKOv3vInZRoNymqX9ux220eqCLvBek3lXu/ao4669Lq7t4Vv7IPvK3foXO01T/f0g5kLyhASBvRJPXEyNKdyEVDOs7aYqH9jggDSfUYCLLl3+WQVMlGZke0XQJrh2q89ts9a+KjuNuh2XjWjYxJ5NhMVB961CZ79M2zc3e6niUyFqUI7GyrqDzt2Wlzz5XsKty6yc7T3hzt7aIQsgIKEHIZ2aMcu058V0fHLAcPPU5kRSutoxQzUS9kZ2BcAFEHS9reRVVoSXsi8fXLZwvEB9onM5HpilhFy0NFqHRkrzyCkxHKK4+pWeLMas8rxceYzrNNSyPTWWXJz6/qA7uuP5KsnSt2pwipwK/hJbfhLVo7LgB3Hw2xotWZYzKrBYisU2OmHi9ibkXyqk5kdlfELDOYYWePW1WOOsl81WfiCc2MDWPdVroV482yP+vQR2nHery+m7Vd5u9soxnx4c0zMq1VHtKvovbOoD2jnemYp7v6PyEVKEDIrWhR8N0WAM9R6LA144h4os1Ljzh6liCZIWuvlh8VBh2iQ6v/TGfdi+s4A39MUJaZcVJLNgVpKs+oi8hZzYw3JG23k+WJX6sfdwv9rnE7u/NhpZFkhb83FscyZkTdTuuPRdc6iQR1CFkBj2CRW7Am+iu2gyt1rJ6Io2hfdbdAHl+xHOodt+LlkaZMngjtfrU2HtuvG018ZMlGKrV7WxXtzB5hGtvZO3YUOV5SwHlR8rGuLjLCp4NOYYPmtZ6Ldu+R4I1EtOxHmR2SCk9wujvFh/e8dgsGkndBAUJuQ3N8rpjwslHRK46GROKj6pxadXhCJLIHJdOOGhUHFs2ntcX4u+aoe2WoNsndj2+/5x3LPutFIrxeOSgrneAslhjUykZFyPhvK23nXOPdw5VUItkZ0WL1TU04ZIkCA9YcJtNXxdcnOdvR/V65JpPPhAKEXIoVZX4iqJMTETm4Xe2jHQ1ZEtl3HPrVixmys5NxsrK2/pL+L7/sLhCxpDlvHQ5jxjZZ71g3QiQUo7xXzjPIfa1u/8xRsEw7WuXIz+XuGmqvlwfZKX7qeoLQ2VfQMt7cnuReKEDI5XjR3LsnO+8YjqTqSKF2rDgagta36lhKpZ2iHRS5i6B97kXNlzxH+WbdNzXVLzZ494eC2O/t/qwmczxHey6ekBrzXSHoNbyjY16eK56DJQw6xYesLxr38riPll+zofPY2Zn/7rUn4or+S8iVUICQy7GO/Nw5sUZR8/NzmbaTilOAlnsyc2QnW6cVse5+1tZ9REc3zmsWZVsTX+sxlj/Wt1J0jHWNv1dYORa0OmQfQhxb7/l3kAlaaPVfNfeNfat718OrT+ZDnkWmf862391rT4an2EkIAr8Fi1yGNdHvvgCg9lXuo3I8aAWdwidy8FAHSLPJKxvdRYgcG8SptcrVvvXqfNkc3UnrFh8VsentUqJpO8ge35F5rWNOVzr90r47I9nZ+WZGpHrz/VmetkOZ7WMzz3L3tWfkSbYSgvDH3QaQz+GpkyfqwGUdvXHxzUa9u/GOQlTK6rqfzPGo7BEtpE7vs7O888cTH7Ksq5/3GIm27m+8pkXp73CAtAi69vv4HKKyrjx2Nu44jHXfPdalXRLZltXAinW0Stvt1eyJ5qUnOeUz/e5J90kICndAyO28bXKNnAwt6vcJZKPQ2R2QKtXo6i/XlFnU+hsf8t+jDdVdNK08uQPgReGR3y0H/oodEEQ8RGkq0fVOOo68ddigibfjqL2/YtUh6brfzrnzjrm30gc+aY0gnwXfASGkGdSpIz6Vo0OV8r0F3ntWnvg4vh3H9yP3HkBUn4dVHpL2rFcTMOPv2r+R+7vqWN/4b82JjmxdPS7v3gmx+vkqYbkiwCJtnSn/jnl45rglIW+DR7AIWcR41OBcbLSjJFceCbkTef/Ve5fHibRyvf+fjHVn7fh5JATY+TjrRurIHoFDdtvGHRJr10U7ojbTNzuPmFnPbwTZGYnsuWocekeOViGfL9oXkTRW/1l1b/Lo6lPnT21MSihSyJvhESxyO0+YZKs2IvmecP+riI44XQ3yHH46QMo7H+fX7XrRZO+I0C/lZ2wRR6W8I1Na2ZkdBpmvcg0ls5OBXPOewxU7lfK4nLfT1F3n+LtWH7oDpqWPWHEEC/n8KVjHTZ96P4Qg8AgWeQVXnktHePqCeBXeMQ3vPYbIqUKOGWmgz80TH1q90kav7vF3z/HTIsCaA4PWnwG5l6wzhbR9JN6ifKMdVl/K2JxB2mA5nSer5o5IDEd97i6Qo5JXtN8Knm4/IRUoQMjj2SVSxMWjRnRW3IoWj9czuwWRHVFa89uuvn4/7oNE2avCIDp2NB6/0mxAyvHSZI6VRRH12aM7GfukM+31vxVzSyS6LTsrRPZr/TQ6EjTmRXajOtoP7RPd7Xc1K4IFhOwKBQghSapRWOJjOcvIsSLNyY2Q6ZG80VftRkdENLs1uzpY4ThroPeQOf50fjb7PL0y5G6Il07aXyVTxuyRsMrxOOSo4JkuOkbWKTwqZV1xpG4FuwTUCFkNBQghIHdE9D4FK2IvnUjvGXgCRSP7DNC/8/FLnsFOTZTM7IBU8dowOv6E5qkKCSk0reN3Vrmy72QFjGb/+FnX2F8tRDLio9r/xjG7gq75lsebCNkTChDyCjxHpItVET2KkX+xjqdozuZMtDxtl/XOx5eeXjrMmb5TcXTRPKiYQ+tBnlf1SFW0Q1Up1yozOk6UwRrj0VHDiNUR/cyctHoXeMU9PuF4Fnc/yCfxx90GENLB9y/9K1k76F4UuMDoWM7hGGW1nDDLqWyxy9j5qJxLR9JF6bU+HuXxxAAaxb7qfPp4f9n7PBn7gCYE5LXovYfsTspKQTyWn92p6dr9GO1YxeqyV+/gZKH4IJ8Gv4aX3M7sArBq0u52ZL0jN1x4/iU6ZiWpOMbeGfZf0jnHripOpne8DD1aY5UzXvfqj872ozbIMr17i9COpyH2WjZozlx0BCfqW5UxWnnGlTo0rCN/Wl5PsFjlRWVXucMRv/t4FsUH+UQoQMijWTVxd573Pg7MSeMC9CvRM/B2QbLOr+p8GuIj4xRLexEBavUHzUnS2sByrr3yLJsjIuc3EjuoUInKs/qAZmckPtC6UK4a39buhtU3tPHSIbLGOivc5YzfFRii+CCfCt8BIY9m9lz1caw9UiKdGctWLkC/gz5bLVqeFSO/OWnBXziX6TOCxDo25kWsraM2Y3kW6K5Ipg9GZSIiC3H65TPV2nosNxJ48lpVSGqfZ8q4Akukauk6nGDvaBda9m7iY7U9FB/kk+EOCHk8lUkciYiuPi7BhQcD2QlBHFjr859lOzNh9G1XWvnSRssGzRbvCJIX0XaPkzkOonYdOZbj1ZMVj2Oe6tGtsdzsrpIsN2oDZPxeubuZ2THs3v1A0p11zZbVTXVHsqNergHkk6EAIa8gGw1G0nFx2IeZaD+0A6J9y9VZpiM+kCNVapmgIPHKjY7UZD7zbIuEC2qfhXeUDqEaQEB2yWYd5ruOX0VpT64QH1rdVwZ9PFuio2NWcKPDTq4x5NPhESzyCqJF4spI5KfTeaRtPLZ0HtvxnqF1vKmKfOcDccbRnQPp/Hj3pqWVZXvOpPxsxdhAj/xo+cYjWRnBM4M83qVdR/N7DvXKe7DqqYiRSp1ZrD5ypTNujSPkeY/5Zuyl+CCEAoS8jCgiTNYjHTNtsZWRRS2PV27Ghuiz4ziO46/Btr9/d+6tOhAsZ8OK/Gv1adcQoaF9Zu00rBCOlfRREAEtDz2S5F1HndK7AhyjjdkjZ3cGaKq7XbMg9SFpZnaOCCH/hQKEvIou0cEFZp7IeazuUqDPJdo1yJRllaE5f7LcSDhlHJ6VuAINSNO5k+KJMUll96KbVcd0MlhiRAMRpd5OXte9yWe9us0yRw49e7SgCQrXFUL+CwUIeQ0rJnZ0geERr985n4d2dMHbFfCczqwjbtXdRSSsRjtmoq+eMIh2WNB6Kn14RSS7YxwjTu0KUTf27SuOXo3/R+coj2hXZJXzfOdOUvYYmCb0IuFOCPkdChDyeFYuWsgCc/UxgqegRQg18ZE9clPdnTKdw//8ns6zS4JG4K17l597jl82Wqw5V959VY45eXXdxV1HfCwbutskOq5opR/tirhiV2f1bloGqz+jeY8j3hmZ7Qc7jC1CuuC3YJHHsnKRqpxD58LwL7L9kAXZcs6t8ivtrYoF8Q1Y8h2Q6KhFJB6sen+zw6hHa0vEJlmmVp8G0rbZaHrEKicXmSOsvlqxRWs7a0dkpi6rHq2cO4+FRUR97a6dZW9XMTNu5DjsuA/utpO3wB0Q8iiuXEzRKDb5FblAZo4poczsglj1H0defPzMN9EvMzsHMo3l2Hp1ZSLm2aNdnq0eUlh1OWpIRF3uLI2fdyJFpbUTmO0DsvwnOKgZG9Ex2GVLRnxEY+G0vWsn7gnPlhAU7oCQrbnrbG3FAeOigIM810uio3L2+2Yfo5h1ImSZGUcbcXSitMjuEnIULAvqUK84poTuEkT5qvVVyouOyFX7zN3zU8WeqkjL2IMIN29OQPN32M3gF3kT3AEh23LnZItEildH5p4K6qSiOwrLUEIvWiR8xDsudl6vREojNBGEOO1adD9zvKrar9GdljHtavFx1nVel5+tqK/CCof7ip1b5PhgtjyZJ3L2M7uVWtnjbkV2lwk5mjWz80vxQd4GBQjZjh2cevOIjhEJI78jnVB5zMZzULNp0lFHTXz8/edvNsr6qsjyqoJEs0+Kn9HW2XoQJ1BD3uuKHYcZMuLxTjqPVWnjcRZtjKw8xibLtYSAZYP3fL2xkxVCskyrnEjwXNGWhNwFj2CRbdjNqUcWl5kjEm9CExrWv1FHLxIWEdZuhSU+onIQ27xrnlBAQRyoCHQHRHtOljibqXeX3YgVz2TGHs2248B3SCrzV9amVXNd9lnMOvHRjkpkC7LrGa0VWl2fup6Qz4A7IGQLdptovUj9aWfVEXsDmei3/He0ixQ5H1nR90tdfykOyt+6QMqCRv1X9xnLqYlsQRwkZIxau0fyKMqKHYeZ8iq7DVfMW7KtugTb7ju5mV1IdPxraG2Afhbh7VRauyrVugh5GhQg5HZ2Ex8niKNYcdDejOYgeYtpxw4S4shqwuM4/J0PtGyZ9mfZTv+JxO1vdk46JFWnSdbvpZH3JNvO2hnbbdygAvQOu7sdU+S4kWXHyt2Psc+Mn1fvPzOurHuz2iobbMiuK4S8FQoQQhQix9lysj8lcoUeMbKwjh/MONhmGdYh02/HcXzZ5Wn/9rB2T6yoNXoUKmODxIrqW46R9VxHcWHtAEaixbOngysFwVV1yXpW1RkdBfI+7wTpg6MtM3ZUnyGywxjNhW9fHwhBoAAhbaDRXJln58nYitpqEbPd72U1mnNrHUta4YhqTrIrPg7dQZh5jtrxsowwk1R3g+RnnvBA8HY1kHSanWf6jmffOfZ2GcdXiQ+J52Df0S5SdMhrnc/9OHJH06JxVR1vhHwCFCAEorJt/JbJN1pkKD5+BRWeaNpK/T++/tSPXX3Dyuh4ntoOQWY3Rfv3Wa6VXtvpQAQDYoesxzqm8vRdQGT3c/W97SKo5Nx31dGr8bPIvpljWVbwKCuQM3Y/dVwQ0g2/BYvczo7Oe3TOlwtMDyuefVZ8WDsUnl2Ws2Q5NVknyRO7lXvI1J8JHNxxBGZVOVbZxzG/Y5PN13FPq45MrTo+N4LsFnq7b9l6s2M9W/4J1wZC/oUChGzBjiLkOPTjVXdHR9/A0ii5NqN9i5/bea3qlMg+Yh2HQsjkQ+4rU7dWv7Rltp8/QXzIeo6j3l8ru19d7XOyWjDMlqeJZ0+YIGIcqTNjHyGkDwoQsg2c5D+Dpc/ZEB8oM85f5ZiiVY4VAY5EBlpHVD9S72z5TxIgs3VVnN2udlopQjrstII78t/ZuroDRVyfCOnnP/zhzy4/P77+vN0G/qx/vj++/ux/1tp/Sdu67LLKQMqWbSR/NJsz5d/VJtK+2TKjtuhuhyvaUbs+e1/dz1DaOmsbWkf1HmSf4xrDH/7s8cOX0MlW8IXud7Pk+f7H+Dyx89GB3DmwdkSi+0fOv3t1Lz3e1shMX9DyoUcktTxXENlntYXMp+WN6j3zdo69Sj8diWwZr8/WhdRHCLkWHsEiW/IUJ4pcz8++YfxxweM41L9uvtwe44iIrH/WkdLKXjVeVh+X6hQglXKR++voP9a9n2T7aeW5dB/FGvvequNMncfQuJYQshfcASFb0hHxInWyDsJI10LvPf9IfGhR45Vo/TXjPGln3i1Wv6OxAi+6n3UOo2eaKQ/ZNVmFJ1LRvBlR0TmnWrsT3ovhlbaVX+pACHkPFCBkW9AFkwtTDxVH0Ivqjr9b6UpOiSE+zl2Pu5EvzcpdijHN+W+vHPnZcVzjMF/llGdEyJgO2W3K2KCVeYXjO1OHtrOWbccOvPaSOyWVumd3MlfuEs5CcUU+FQoQsjVXbtOTGtl3HSInUvL96x//oOg3W/hcgRQK43l7yx7v9112OLoi5l0OlixnxS6XFI2r6bZdlqm9J7PyXQopNEYbOkTEDHfudllwl598MhQg5PHsuLA8leqCWHUGoWfniI8ff/95HF+/O1a7HOFD2sUTcJnPu+lywqMyZuvp3F07850i5ApWzFd3Hy2LjtxdbZO04Tju23mwdjUJ+TQoQMhruHtheQOos7jiCEfW4dvlyNXJ7Lse2TZYffxqlzGUdVhnnW957ysc5qvFzYp3P6J6rXbbpV+tmMci7hZfhOwEBQh5HXcsLE8nenfDOm9vpT//jR4n0pw+7ejV+O1Wx1fuflb1h46yUfFxheN69djxnNWpd4WadgGQo02VetByM3g7D7Ku1TwhIHTlWkHxQcivUICQV3L3EZwnLTLaOxnH8bsDEb1EbbV3uS28o1fCJu1YQ6dj54HsGmn/9sqLbH9S/0LwnNUrz/5X32/I1GO9y4LaWLH9jvQnOxy78kDtm3021byEvBUKEPJa7pzsn7bgoGLCIx1NHATG9+Of4/hL/C75dvyy6yGPg0U2XyVIUCxhcqdwvjtavdJZjQRC5t69srwxFD3b6q5B9bmhY6LrPZ27+5fF2e8i+yIRehzY7jEhhAKEkCU8ZfHpemHXjBr/9auwKCP+qnkkOKwjZXcw6xhedezqOPbop6gzOFP+ceTv2dud0ZxO6axm6lt9NEhzmi0x0mlHdF93vhgeiaTzMy/o4b3ftZJdhR0hHhQghCzkaUKkgrUQe38sMMU3+8Xg8f/I8YknYUVWu9nNeblqrHQdzULLyt7PjDCy0qF1rXwGlgjZQXwcx+8Cw7PTEhpSiKy8t53akpAM3w7/G/YJIY3suDBEC5i1GFui4DiOnPj49vtHVl3a8QcrGul9ttszkNwtmO5qn12c0I7yjmPdToJWHyrArzjalS376ufuCQzNvvP3Ee2a91nHPcrnSPFBngx3QAi5kKc4wBK54yA/H/n+pRy7AkRGl12aQPHs3RXvXYJMfhTpEFbKeCIrxuPss6vUZ93HjuLjtOXqfnbeEzIPezshclfD2vHy5qWq7dbv1meE7AoFCCEXs6MIyRzP+Im1dwqIjxkyTt2TBEeWyNmc6WN3ChEv0pwt5+4x5u3QrazrKVzZz6SYQOqynlvmaJUmVLL3q9Vj7QQT8hQoQAi5gZ0WDMuRdUVJ0/sdXh3WtSucuV2J+osWpUXyReVd6SBq/87WnXkvYocxOIvVRjO7H+f/r2qflXMisnug5Rntst4VsUSA12+zc5hl611H2AjpgAKEkJvYSYRIQpvAb7b68fef+lfqHvY7Gsdhf5Wl/Pcnke0nY9vN9rO7hMjKuq8Yex191Xu3CZ1DKvd51TOXOwSdz0WbNxDn3+uDmggZy0RFn3W0S6ZB2HktIcSCL6ETcjOPPG8vZw1xzAp9yfPEOjMvF37EoUPO3+/e1vJ+O+xFysrsHHTZNdabjUx7Zc2U0U11J0IrBxUG1Xv03iXpbC/PvhXONNrHMte9MrNj6WRmpyZbNyF3wh0QQm5m1230nwsbcNyq6mBpYiESENZC+6k7IyidEe3OsrQz8tW6M2OoW+AhdXVEqpFIfnUseLZ1Rtmjcmbr0p6rtktREQ3aDpRWJtq/vPlfPmNvvszcAyE7QAFCyCbsto3+/euf33c6/lYS/lX71h9tgR7PVFvI628VHquc47PddxMiV9WtCZ4r7Y8c02gHIjqy1LXbUrEdAZ3jqvOhtRsxlis/y9gly/B2Q9Bd27FMr67x/9Y97rJ+EBJBAULIRuwmQn5BEx/icy2Ch5AVLmO+zCK/O1fdBxINzpY3loWW19HXMzuIVpordyHHPuuJjdE2b/fE+7xiV8RMW2XzVASPNh/IAEe1v6L1jjZ37rR54mrLNYOQgP/whz/82evnx9eft9twHMd/fv73BfwsbIPz37Jd5OdaHpkeaVs03cr7var+s67uOqPyVtyfdx9ofavaXpZr9WmvT6x6jtX7zeSbbVN5f+N9yn97beil7bh/75nN9K3OsvjDnx1+uANCyIZceT49xNr5kHz97+dirGixRfaYxdVc/dxlxLir/hVRZrTOsd5snVe0e3SMarSlch939B2rzhX9yXrO1jEoWYZWTtWmqBzLlirbrAuETMJvwSJkc24/kvW1KG3AlceqMo7riuehHQu545lrbd7lNFkv1K5mF4fNO0Y1XpefHUdsuybCkXxWvRUs+zvb3StP9jFUFKywSRNJXcevbl8PCGmCOyCEbM5WuyEbsML5H/9/Jzs8Z+ul1/FaR9lX3utO48Z72ViL5kdoz+fKd1rGuiv2IyB9Ba2zu020elfN2RQf5E1QgBDyAO5wKHbhqiMx2merI7qryuxAO0JVcaq0+5PHZbJlvpXsOI/EYeSUrxDdK8RH5QV0dJepyz6rP3fV+clrAHknFCCEPIhPcdh2uMer3wW4st4MliOHpMuUv+J41hOdtS7xMV7TxtPK41FdIqRShveuSPf9jvVZ99zd/57WnwmxoAAh5GFc/a7Aj+PP4/sB1PHllLHB8abdsF6mfQJaH5x97yDzHg7CbuIDfWH5/D+S7iwXqXsst7uvRbtcXWVmkLsSVxyF+pQAESEdUIAQ8lC0yPEqIhHy4/gTegE982Lobg75ijPtHfeIlLHKGfKOac3UfbXI3gEkYj/btpn3JJDyo3RV53/nl7aj8j6hrxLSAQUIIQ/n0sX9S/9MihPrW3l2dyjvOHZltRUK6iSuxHOUZ555VYjstvvhYd2bjKZ3CLuxLO+9EKTd0TbOiICu+UE7DtZZ7pP6FyG7wq/hJeTDuHLxnHV+73oPYyZdthzLOVqx44LQdY9jWV3vjCCO5C7OodXmlfcSusSHViay69LRN6Nn17XrsboOtC5CSMztfw2RP/zhzzt/fiT+4rBMg+TptHE2TaWuH85fM77q/jV7ZuqO8o51VOux8o/97Y72yzxT1L6O9pp95hW7M/2j476QftdVV7ft/OHPJ/7wCBYhZBmMDj6PK96/0I7lyfqj/CfRMaFs2RmqOzvVnY+VRO81dPUH+XJ4R5nRkbKxju4jVJzjCKlBAUIIITew+xGOihCJHDvpeGr1ZNtFy486oyjIcapMWZX3dlYIQ/R9D1n/zDdbnWVdJT68b6vadewR8glQgBBCPhbUGZx5CVc6k97vOzpEKxzfsUzrfZEVAs17J6ValoV1X1nxob2cfqabaRuZHy2385utuvoS+j6Llm/HMUfIJ0ABQghZTvZYzVNAHFnNKdKc093vP3Kk0d0PtFztiFbURtldkyqncELs0aL+XrmondVdBGSnoyONrHOF+PBA55wnjD1C3srtL6Lwhz/84Y/8Wf1yJ/pyr/XiuHypFbE38zLxXS+hZ9sPyeu9eIy0H/Ks7njx3Lqvio1of5x5bqvKvaqcqOxqPXf0Hf7w59N/uANCCNmWK1/C9eqPovBZO98QcdWOM2nR5I5z+HIXydopuLpd5T1Uo+mZnQ/PDitv9Tjb7A7BFe85yWNklTqftBNJyFugACGEbMvqIxKW86g5hNrxqbsF0g5ogkP73MqbdRgt4XMXlXuQfUmWV7VjLFvWVaUyBq8QHhZX3yshpAYFCCGE/I/qewwZ3u7cVF5ar7RJJESubOdMBP10cmd3PTxGgdP5onf1fY8nUd1FIYTkoAAhhGzNFbsfZz2aY6jlq9j1absliBDpEnRa22Zfkq7WrdkSidionBmsXbyOcqM2fbr4OOGRLELWQwFCCCEH7rBFR6+s9yA+Fc0hXuXUyaNHst5KORaeWM3UuaItxh2QTifaE5Vv7OM8kkXIOihACCHbEjk1My/HWufko3c8pCMdvYvwRsesguasdkf+x3I7yvaczw6RuVJ8jOV3O9Gy3Dc76TySRcgaKEAIIdviveBcdezRqLWVTtb99ijwClbtilTeP7HIOtfesaTz+spdIO+eVznRbxcfJzySRUg/FCCEkEcwe85/JDpKUhUVyI4I+ZfKtzUhz3xGiMg8Xe+orOwL2Zffu5zoT3PIP0VwEXIFFCCEkO3RHMnRyawc1fIcCW83BHm3wPqGIwoSG2SHwDoq55U5po3Sr3Iuqzt2iD0Zm2d3iOTXB3+iI/7p909IFxQghJAtGaONiJPpoQmKrOOarZdOSg3LSda+tWxMh5SplTt+vvJZVUTIqoh7dTeEzvd/4ZEsQub5424DCCFkNaOI6XpBmazlfE6Ro5zdXZLl3gVSt9xxkNdmHGCOgXlm3kUj5NPhDggh5PVko7bW32pAnQ1GifNYznTmBfDMS96rRQiyy2Z9ZTPyRQddL+1nRAwj/r/DXSFCalCAEEJeTcVp0hza7m/dIv/S5dhmHfW7nUetfk8UrDyONf6uQfFhwyNZhOThESxCCBmYjYxrDuV47IuC5BrQo1ZXOozRDs94rAr9Wuguu9g/56H4IASHOyCEEKKwypmoHOUa876NK6LG6HEsJO0KrJ2Qk6si69o7NzxeRAhZAQUIIYQ0gTpr1W9getsRj5X3k3Wcu47RVHcQrPqvfuYUHoSQK6AAIYQQ8pM3iJzZb4fq+HapGSGSeZl+FU/vA4SQvaEAIYSQBt4SMb7qONIqodNRbqUNMn/YEqm/ko8QQp4CBQghhFzM7o7l6mM4O4mP6B7Rv0ZulaUdqUKxhFCl/zxdGBNC3gUFCCGETJJx1HcXHyOVv69xF12iRt7r+C1a2rs7Yzr572hXBP0bJ/KbvKL3Vay/L6LdAyGE3AEFCCGEXMjODqD1/kPnH8LreMm7+hI/UvaJ9i6G9e1Qmb/lUaWjzJ37HiHks6AAIYSQCT4tsjx7PGvmHRP5NzI6HX3r726MZVt/n6NToGl2WcLGE4ze1/oSQsjdUIAQQshDyPwNkdV0ROJRZ91ypru+Mtc6QmX94UDvSFano4+IC8uerjYihJAVUIAQQkiRu3Y/Vtd31X0hQsRzoGe/sUt7vwIpD9kJyZSXzWMdkYuOzxFCyC5QgBBCXssVf+jujnJXR7WvfvncEiLIfXZE+itCZjz+hIgktL9cfR+EEHIH347j+M/dRhBCiEbVGdvlmFIF9Ju0rnAwrZeur6i3UteMjbN9Dc3riToelyKEfArcASGEvIYOJxn9uw/e+xhe/ic4mdE7BfJad90zOwDVMqovtM+2yxO+4pgQQrqhACGEvIIrdwXG/7+NqB1XCZHO8qpHkWa+VQsVP6NtPC5FCPlUKEAIIY/nCbsKJyv+RkQXGbs6hciK9qjuhnS92I7k37EPEELIFfxxtwGEEKKBOo53OfNvcx5nIv/ZF6076kWpfHWx/HrbSp2EEEJsuANCCHkkdxxf6Tp2tZOD2tWOlR2R3Y+xzR7Jitpi150wQghZDQUIIeRx3Om4RY727k71yKp2RF7iR9J10fFuR7Xe44i/tIAQQj4NChBCyO1YjlnlW6ZWIW15euR6xV/tPg5MfNx1ZO7uuuW/CSHkU6EAIYTcyszfUbiap4uOkxXio/Mvfa/iLhFC8UEIIb/Cl9AJIbdxOoO7O/aa0/hER/J8UfxO8TE+7zva8GoRIPv47n2dEEKugDsghJDLeerfP5COq/aXwndlReR/5q+H3/nsr9oJ8Y4Q7t5fCCFkJRQghJBbmP1r11ehiSXtpeKdhcjKl80r33q1i/Bcac/uXyNNCCF3QgFCCCEGloP6hOM0mjhaAfoH/3ZytKUtnbYhX71LCCGfDgUIIeRSdnJE38xOL3jv9Mw1AdB1JCsjwkY7rhKLhBCyCxQghBCisNtxoSdgfd3sLm3oCYTV9kZ1E0LIJ0EBQgi5jJ0i4WQN6JGsq0HsmbHdy2PtdhBCyKfy7TiO/9xtBCHkM9jNKbWYdRJX3uNT2nAnugWFTHcc+Ev42hEsPk9CyKfBHRBCCDGofsUs2YOZI1XIeyGVv4GCfEYIIW+HAoQQcglPidzv9t4CmWPmOXrvhcz2Z/YvQsgnQwFCCCHklXQ4+fLI1FV/xJAQQt4MBQgh5KN48hEpOr73sevL9YQQ8lT+wx/+8Ic/K39+fP15uw2ILeO1H19/lu1ecb87teGn//BZ8Ic//OHP3M8fByGEkN92RnaJcv/4+pNR980Y3w0hhBCSh0ewCCFL2cl5jmzpsLPTMd2p7civ7PiHFgkh5ClQgBBCPh5PNFQERZeQoWO7N6cI4bMihJAcFCCEkI/Hch6rfwekYxeEDu0z4HEsQgjJQwFCCPkIropSUzh8HvxqXkIIyUEBQghZBuKUMXpM3gBFCCGE4FCAEEKWEgkMOmyEEELIZ/Ht+O/38RJCCCFkEu6CEEJIDP8OCCGEEEIIIeQyKEAIIYSQJvitWIQQEsMjWIQQQkgz/COFhBBiQwFCCCGELILvhBBCyO/wCBYhhBCyCB7JIoSQ3+EOCCGEELIYHskihJB/oQAhhBBCLoJHsgghhEewCCGEkMvgkSxCCOEOCCGEEHI5PJJFCPlkKEAIIYSQm+CRLELIJ0IBQgghhNwId0MIIZ8GBQghhBCyARQihJBPgQKEEEII2QgeyyKEvB0KEEIIIWQzuBtCCHkzFCCEEELIplCIEELeCAUIIYQQsjkUIoSQN0EBQgghhDwEvh9CCHkDFCCEEELIg+BuCCHk6VCAEEIIIQ+EQoQQ8lQoQAghhJAHw2NZhJCnQQFCCCGEPBzuhhBCngQFCCGEEPISKEQIIU+AAoQQQgh5GRQihJCdoQAhhBBCXgrfDyGE7AgFCCGEEPJiuBtCCNkNChBCCCHkA6AQIYTsAgUIIYQQ8kHwWBYh5G7+H4ZmBy4Rs+CeAAAAAElFTkSuQmCC\n",
      "text/html": [
       "<img style=\"margin: auto; border:1px solid\" src=''/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 600, x: 800)>\n",
       "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       ...,\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080],\n",
       "       [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n",
       "        4278190080]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 -98.17 -98.17 -98.17 -98.17 ... -97.37 -97.37 -97.37\n",
       "  * y        (y) float64 30.0 30.0 30.0 30.0 30.0 ... 30.65 30.65 30.65 30.65"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the path from start to goal, \n",
    "# barriers are uncrossable cells. In this case, they are cells with a value of 0\n",
    "# use 8-connectivity as defaulted\n",
    "\n",
    "path_agg = a_star_search(street_agg, start, goal, barriers=[0], snap_start=True, snap_goal=True)\n",
    "\n",
    "path_shaded = dynspread(shade(path_agg, cmap=['lime']))\n",
    "set_background(stack(street_shaded, path_shaded, location_shaded), 'black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "### References\n",
    "\n",
    "- A* search algorithm: https://en.wikipedia.org/wiki/A*_search_algorithm"
   ]
  }
 ],
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